Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management.
WHERE YOUR EXPERTISE IS NEEDED
Impact. You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance
Vision. You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business.
Collaboration. You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach.
Growth. You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose.
Development. You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando.
WHAT WE ARE LOOKING FOR
Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. )
Experience. In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach.
Technologies. Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker.
You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau.
Execution. In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy.
Education. In holding BS / MS in Computer Science, a Data Science field or a related discipline
YOU ARE OFFERED
Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location)
Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.
Peers. International, accomplished experts and self-organized, autonomous teams.
Want to join us? Then go ahead and apply!!
Start the conversation. Tell us what the next step in your career could be.
Apr 01, 2019
Full-time
As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management.
WHERE YOUR EXPERTISE IS NEEDED
Impact. You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance
Vision. You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business.
Collaboration. You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach.
Growth. You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose.
Development. You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando.
WHAT WE ARE LOOKING FOR
Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. )
Experience. In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach.
Technologies. Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker.
You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau.
Execution. In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy.
Education. In holding BS / MS in Computer Science, a Data Science field or a related discipline
YOU ARE OFFERED
Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location)
Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.
Peers. International, accomplished experts and self-organized, autonomous teams.
Want to join us? Then go ahead and apply!!
Start the conversation. Tell us what the next step in your career could be.
This role is responsible for the Walt Disney Attractions Technology and technical ownership of Disney Cruise Parks Data Platform.
Provide open-Source component evaluation and roadmap definition and oversight, to justify and direct key technology decisions. Coordinate with Solution and Cloud Engineering, and Reference Architecture for review and approvals
Manage and execute against financial, project and delivery commitments for approximately $15m budget- including Parks Data Platform development, Cloud Migration and Platform Sustainment
Provide technical leadership of:
Parks Data Platform (PDP) ecosystem delivery including component integration and configuration engineering, monitoring, security, automation and deployment
Cloud Migration Initiative, migration and decommissioning from legacy platforms
Define the strategic technical direction of our Parks Data Platform
Drive the Cloud migration program, including definition and delivery of milestone roadmaps with executive steering committee oversight and approvals
Consolidate platform team’s key roles and processes for Governance (Meta-Data), Support and Release Management
Define appropriate Governance, Support and Release success metrics to measure continuous improvement targets. Manage a quarterly review and communications, updating targets as key outcomes are achieved.
Mentor, teach and train the team.
Drive clarity and alignment by partnering with peer technology organizations
Deliver reference Architecture standards definition and delivery for Information Advantage
Basic Qualifications:
Bachelor of Science in Computer Science, Computer Engineering, or related discipline.
Experience with building and leading mediums sized teams of engineers and architects (10-15 FTE) including managing resource and financial planning, and vendor management
Previous experience with Data platform analytic technologies, including the following:
Expert knowledge of Cloud deployment technologies, Object Store and Hadoop distributed ecosystem for building production- highly scalable and resilient systems/services
Experience designing and developing data flow pipelines for high latency/batch, low latency- messaging, streaming or near-real time data delivery
Build in security, data quality and performance/scalability as appropriate to the dataset
Cloud, private cloud and on premise configurations, appropriate use of each
Open source Big Data and AI/ML architecture and integration patterns
Present effectively to all levels and businesses. You will be a presenter at quarterly town halls and speak for the achievements of the organization, accomplishments and future vision and the overall progress. Able to present complicated technology concepts in a simple manner, and present key technology challenges or overviews with senior technology leadership (C Level Execs)
Evaluates and anticipates risks and solutions before taking action, clearly articulating options and their impacts/consequences. Course correction, expecting failure and ability to respond efficiently
Facilitates various forums that promote collaboration and knowledge sharing, highly collaborative and resilient/perseverant
Maintains awareness of best practices and emerging technologies and their viability at WDAT
Maintains high levels of technical knowledge through ongoing research and development activities.
Demonstrated exceptional critical thinking, strategic planning, and process management skills
Provide clear direction and quality feedback when aligning expectations with competency and trajectory for individuals at all levels and their career paths.
Preferred Qualifications:
Demonstrated knowledge and experience with automation and continuous improvement tools, frameworks and mindset.
Ability to perceive and synthesize patterns and relationships between technologies, processes, and business models.
Familiarity with networking infrastructure and system design of load balancers, firewalls, and VPN in virtual machines and containerized applications.
Knowledge of rules processing- data type casting, formatting, transformation and enrichment.
Meta-data management implementation using custom or packaged tools
Jun 15, 2019
Full-time
This role is responsible for the Walt Disney Attractions Technology and technical ownership of Disney Cruise Parks Data Platform.
Provide open-Source component evaluation and roadmap definition and oversight, to justify and direct key technology decisions. Coordinate with Solution and Cloud Engineering, and Reference Architecture for review and approvals
Manage and execute against financial, project and delivery commitments for approximately $15m budget- including Parks Data Platform development, Cloud Migration and Platform Sustainment
Provide technical leadership of:
Parks Data Platform (PDP) ecosystem delivery including component integration and configuration engineering, monitoring, security, automation and deployment
Cloud Migration Initiative, migration and decommissioning from legacy platforms
Define the strategic technical direction of our Parks Data Platform
Drive the Cloud migration program, including definition and delivery of milestone roadmaps with executive steering committee oversight and approvals
Consolidate platform team’s key roles and processes for Governance (Meta-Data), Support and Release Management
Define appropriate Governance, Support and Release success metrics to measure continuous improvement targets. Manage a quarterly review and communications, updating targets as key outcomes are achieved.
Mentor, teach and train the team.
Drive clarity and alignment by partnering with peer technology organizations
Deliver reference Architecture standards definition and delivery for Information Advantage
Basic Qualifications:
Bachelor of Science in Computer Science, Computer Engineering, or related discipline.
Experience with building and leading mediums sized teams of engineers and architects (10-15 FTE) including managing resource and financial planning, and vendor management
Previous experience with Data platform analytic technologies, including the following:
Expert knowledge of Cloud deployment technologies, Object Store and Hadoop distributed ecosystem for building production- highly scalable and resilient systems/services
Experience designing and developing data flow pipelines for high latency/batch, low latency- messaging, streaming or near-real time data delivery
Build in security, data quality and performance/scalability as appropriate to the dataset
Cloud, private cloud and on premise configurations, appropriate use of each
Open source Big Data and AI/ML architecture and integration patterns
Present effectively to all levels and businesses. You will be a presenter at quarterly town halls and speak for the achievements of the organization, accomplishments and future vision and the overall progress. Able to present complicated technology concepts in a simple manner, and present key technology challenges or overviews with senior technology leadership (C Level Execs)
Evaluates and anticipates risks and solutions before taking action, clearly articulating options and their impacts/consequences. Course correction, expecting failure and ability to respond efficiently
Facilitates various forums that promote collaboration and knowledge sharing, highly collaborative and resilient/perseverant
Maintains awareness of best practices and emerging technologies and their viability at WDAT
Maintains high levels of technical knowledge through ongoing research and development activities.
Demonstrated exceptional critical thinking, strategic planning, and process management skills
Provide clear direction and quality feedback when aligning expectations with competency and trajectory for individuals at all levels and their career paths.
Preferred Qualifications:
Demonstrated knowledge and experience with automation and continuous improvement tools, frameworks and mindset.
Ability to perceive and synthesize patterns and relationships between technologies, processes, and business models.
Familiarity with networking infrastructure and system design of load balancers, firewalls, and VPN in virtual machines and containerized applications.
Knowledge of rules processing- data type casting, formatting, transformation and enrichment.
Meta-data management implementation using custom or packaged tools
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities:
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications:
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education:
Bachelor’s degree in Computer Science or related field or equivalent work experience
Jun 02, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities:
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications:
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education:
Bachelor’s degree in Computer Science or related field or equivalent work experience
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting- edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
We Are…
The Advanced Analytics team within WDT Research is made up of data scientists with a variety of expertise, ranging from data engineering to machine learning to data visualization.
Responsibilities:
A Day in the Life…
You will support the Advanced Analytics team within the Walt Disney Television Research team. Leveraging tools like Tableau, SQL, R, and Python, you will assist in building out dashboards that automate existing reports, creating visualizations that allow business users to dive deeper into data, perform analysis to improve marketing campaign performance, and much more!
Basic Qualifications:
What You Bring to the Role…
Strong analytical and problem solving skills
Demonstrated experience using SQL to manage large multi-dimensional data sets
Experience with Python and/or R
Proficiency in developing Tableau dashboards
Strong oral and written communication skills
Experience collecting & analyzing data and reporting on the results
Strong attention to detail
Proficiency in Microsoft Excel including advanced formulas
Strong sense of responsibility, ownership, and pride in delivering quality results
Preferred Qualifications:
Experience building machine learning models
Previous experience in News and/or Entertainment, analyzing app behavior
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Data Science, Statistics, Mathematics, Operations Research, Physics or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September 2019 through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
May 30, 2019
Internship
At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting- edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
We Are…
The Advanced Analytics team within WDT Research is made up of data scientists with a variety of expertise, ranging from data engineering to machine learning to data visualization.
Responsibilities:
A Day in the Life…
You will support the Advanced Analytics team within the Walt Disney Television Research team. Leveraging tools like Tableau, SQL, R, and Python, you will assist in building out dashboards that automate existing reports, creating visualizations that allow business users to dive deeper into data, perform analysis to improve marketing campaign performance, and much more!
Basic Qualifications:
What You Bring to the Role…
Strong analytical and problem solving skills
Demonstrated experience using SQL to manage large multi-dimensional data sets
Experience with Python and/or R
Proficiency in developing Tableau dashboards
Strong oral and written communication skills
Experience collecting & analyzing data and reporting on the results
Strong attention to detail
Proficiency in Microsoft Excel including advanced formulas
Strong sense of responsibility, ownership, and pride in delivering quality results
Preferred Qualifications:
Experience building machine learning models
Previous experience in News and/or Entertainment, analyzing app behavior
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Data Science, Statistics, Mathematics, Operations Research, Physics or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September 2019 through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 04, 2019
Full-time
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
May 03, 2019
Full-time
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
May 03, 2019
Full-time
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems.
A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing.
The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation.
A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned.
Responsibilities:
The engineer will have extensive experience in software programming and deployment.
Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary.
The ideal candidate will have knowledge and experience with different AI approaches and techniques.
Understand the cost and benefits of deploying algorithms in production environments. The types of algorithmic solutions should span across different types of data ranging from numeric, images, video, and textual (structured or unstructured) collected from domains such as autonomy, data analytics, design, platform performance and operations, robotics, safety, services, and C4ISR.
Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements.
Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability.
Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems.
Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
Present results to the customers and lead transition of prototype tools to them as well.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.
Division Engineering Test and Tech
Relocation Assistance Available No. Relocation assistance is not a negotiable benefit.
Qualifications
Basic Qualifications (Required):
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Experience with applying deep learning for object recognition, scene classification, and scene segmentation.
Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow.
Experience with deploying deep learning models to production relevant environments.
Experience with high level programming languages such as C, C++, C#, Java, and Python.
Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques.
Assets (Preferred):
Experience with machine learning is highly desirable.
Experience with cloud computing.
Experience with GPUs.
Background in SLAM, 3D reconstruction, and motion planning, path planning.
Typical Education / Experience:
Degree and typical experience in engineering classification: Bachelor's and 5 or more years' experience, Master's degree with experience or PhD degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code 6J7BP2
May 01, 2019
Full-time
The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems.
A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing.
The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation.
A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned.
Responsibilities:
The engineer will have extensive experience in software programming and deployment.
Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary.
The ideal candidate will have knowledge and experience with different AI approaches and techniques.
Understand the cost and benefits of deploying algorithms in production environments. The types of algorithmic solutions should span across different types of data ranging from numeric, images, video, and textual (structured or unstructured) collected from domains such as autonomy, data analytics, design, platform performance and operations, robotics, safety, services, and C4ISR.
Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements.
Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability.
Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems.
Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
Present results to the customers and lead transition of prototype tools to them as well.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.
Division Engineering Test and Tech
Relocation Assistance Available No. Relocation assistance is not a negotiable benefit.
Qualifications
Basic Qualifications (Required):
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Experience with applying deep learning for object recognition, scene classification, and scene segmentation.
Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow.
Experience with deploying deep learning models to production relevant environments.
Experience with high level programming languages such as C, C++, C#, Java, and Python.
Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques.
Assets (Preferred):
Experience with machine learning is highly desirable.
Experience with cloud computing.
Experience with GPUs.
Background in SLAM, 3D reconstruction, and motion planning, path planning.
Typical Education / Experience:
Degree and typical experience in engineering classification: Bachelor's and 5 or more years' experience, Master's degree with experience or PhD degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code 6J7BP2
The Boeing Company is looking for a talented results driven Senior Data Scientist with applied experience in the fields of Artificial Intelligence and Machine Learning to join our team in Bellevue, WA. The Senior Data Scientist will have the opportunity to lead a small team of highly talented data scientists building next generation enterprise products and services on the Boeing AnalytX platform.
As a Senior Data Scientist, you will have the chance to be part of building advanced predictive models and launch them into production, learn and apply modern machine learning techniques and see how AI and ML drives impact on Boeing. At Boeing, we are already making a difference across the industry using collective machine intelligence to deliver strong, rich and safer product experience to our commercial and government customers. We are expanding and growing in all areas in the frontier of aerospace industry. We are working on projects that utilize the latest techniques in Machine Learning (including Deep Learning, Neural network), Natural Language Processing and deep infrastructure. Paramount to success in this role is the ability to determine, define and deploy predictive/prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results.
Position Responsibilities
Lead a small team of data scientists to build products and services to delight our partners and customers.
Analyze highly complex problems and deliver requirements specification, processing, analysis, deliverables and presentations.
Work with partners and product managers to identify opportunities for improvements
Own Data Science solution direction as well as the tactical execution to deliver results.
Address partner pain points by building and deploying AI/ML products and services.
Collaborate with customers and stakeholders to foster improvements, build culture, and best practices
Coach and mentor team members to deliver cutting edge AI/ML solutions.
Work with large and highly complex unstructured and structured data sets to conduct end-to-end analysis including data gathering.
Conducting design, algorithm, and code reviews.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us to build the best in breed cutting edge AI and ML products in aviation industry for our customers and for the world.
Division CIO, Information & Analytics
Relocation Assistance Available Yes. Available for eligible candidates, if authorized.
Qualifications
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Basic Qualifications (Required Skills/Experience)
Solid innovator who thinks out of the box and solve hard problems while navigating through ambiguity.
Background in developing customer-facing experiences, a strong technical acumen, excellent technical project management skills and stellar communication skills.
Strong team player and passion to execute Data Science projects with practicality in mind.
5+ years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist, computational biologist, physicist, bioinformatician).
5+ years of demonstrated leadership, self-direction, and willingness to coach others, learn new techniques and grow in field the of Data Science.
Up-to-date industry and academic knowledge, and experience in building AI and ML models and bring in to full production use.
Programming experience in one or more of the following: C, C++, Java, Python, Scala.
Experience in Text mining, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Deep learning, etc…
Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, Theano, Weka etc.
Preferred Qualifications (Desired Skills/Experience):
Experience training machine learning models in a cloud computing environment such as: Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.
Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL).
Experience and knowledge in DevOps for Data Science.
Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.
Master’s or Ph.D. in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
Typical Education/Experience
Technical Bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ of related work experience or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree or greater in a mathematic, scientific or information technology field of study.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code BEH7P4
May 01, 2019
Full-time
The Boeing Company is looking for a talented results driven Senior Data Scientist with applied experience in the fields of Artificial Intelligence and Machine Learning to join our team in Bellevue, WA. The Senior Data Scientist will have the opportunity to lead a small team of highly talented data scientists building next generation enterprise products and services on the Boeing AnalytX platform.
As a Senior Data Scientist, you will have the chance to be part of building advanced predictive models and launch them into production, learn and apply modern machine learning techniques and see how AI and ML drives impact on Boeing. At Boeing, we are already making a difference across the industry using collective machine intelligence to deliver strong, rich and safer product experience to our commercial and government customers. We are expanding and growing in all areas in the frontier of aerospace industry. We are working on projects that utilize the latest techniques in Machine Learning (including Deep Learning, Neural network), Natural Language Processing and deep infrastructure. Paramount to success in this role is the ability to determine, define and deploy predictive/prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results.
Position Responsibilities
Lead a small team of data scientists to build products and services to delight our partners and customers.
Analyze highly complex problems and deliver requirements specification, processing, analysis, deliverables and presentations.
Work with partners and product managers to identify opportunities for improvements
Own Data Science solution direction as well as the tactical execution to deliver results.
Address partner pain points by building and deploying AI/ML products and services.
Collaborate with customers and stakeholders to foster improvements, build culture, and best practices
Coach and mentor team members to deliver cutting edge AI/ML solutions.
Work with large and highly complex unstructured and structured data sets to conduct end-to-end analysis including data gathering.
Conducting design, algorithm, and code reviews.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us to build the best in breed cutting edge AI and ML products in aviation industry for our customers and for the world.
Division CIO, Information & Analytics
Relocation Assistance Available Yes. Available for eligible candidates, if authorized.
Qualifications
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Basic Qualifications (Required Skills/Experience)
Solid innovator who thinks out of the box and solve hard problems while navigating through ambiguity.
Background in developing customer-facing experiences, a strong technical acumen, excellent technical project management skills and stellar communication skills.
Strong team player and passion to execute Data Science projects with practicality in mind.
5+ years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist, computational biologist, physicist, bioinformatician).
5+ years of demonstrated leadership, self-direction, and willingness to coach others, learn new techniques and grow in field the of Data Science.
Up-to-date industry and academic knowledge, and experience in building AI and ML models and bring in to full production use.
Programming experience in one or more of the following: C, C++, Java, Python, Scala.
Experience in Text mining, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Deep learning, etc…
Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, Theano, Weka etc.
Preferred Qualifications (Desired Skills/Experience):
Experience training machine learning models in a cloud computing environment such as: Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.
Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL).
Experience and knowledge in DevOps for Data Science.
Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.
Master’s or Ph.D. in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
Typical Education/Experience
Technical Bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ of related work experience or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree or greater in a mathematic, scientific or information technology field of study.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code BEH7P4
