The Senior Data Analyst must be passionate about digging into data and understanding the stories the data is telling. You will analyze complex data sets, track and measure insights, build critical dashboard and draw key insights.
Major Responsibilities:
Leverage your project management expertise to create dashboards / visualizations (Plan=>Scope=>Design=>Author=>Implement). This process can include requirements gathering, data sufficiency exercise, sketch design, to dashboard authoring.
Work with partners and stakeholders to design and create user accepted dashboards. Bring value add contributions to the process of designed and authoring executive level dashboards / reports.
Design analytics and reporting deliverables, especially around data visualization best practices, and creation
Act as the data expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations
Perform data abstraction, cleansing, validation, modeling, interpretation and reporting.
Take data, understand it, process it, extract value from it, and communicate if visually / verbally to team members and key stakeholders throughout the organization.
Work closely with customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions.
Deliver ad hoc reporting and analytics within an agreed-upon SLA.
Play an active role in business reviews, especially in reviewing analytical findings and in strategic planning discussions.
Ensure solutions meet the client’s needs, support the extraction of actionable information, and align with client objectives.
Provide consulting support on all data-related solutions (program design, report design, data feed design, data aggregation, etc.).
Qualifications:
Expertise in developing Tableau dashboards using best practices, required
Experience manipulating large data sets leveraging tools such as Hadoop and Data Wrangling and pulling data from data warehouses, marts and lakes.
Proficient knowledge of SQL, required
R, Python, TOAD and SQL workbench, a plus
Expertise in doing Root Cause Analysis and resolving performance bottlenecks
Excellent problem-solving and critical thinking skills required
Strong proficiency in all aspects of design, development and testing and best practices of Enterprise application and/or reporting implementations;
Strong proficiency in the design, development and/or maintenance of reporting systems and databases
Ability to interpret data to help in strategic decision making.
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Effective communication skills and ability to translate numbers into a story
Professional, positive demeanor
Jun 11, 2019
Full-time
The Senior Data Analyst must be passionate about digging into data and understanding the stories the data is telling. You will analyze complex data sets, track and measure insights, build critical dashboard and draw key insights.
Major Responsibilities:
Leverage your project management expertise to create dashboards / visualizations (Plan=>Scope=>Design=>Author=>Implement). This process can include requirements gathering, data sufficiency exercise, sketch design, to dashboard authoring.
Work with partners and stakeholders to design and create user accepted dashboards. Bring value add contributions to the process of designed and authoring executive level dashboards / reports.
Design analytics and reporting deliverables, especially around data visualization best practices, and creation
Act as the data expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations
Perform data abstraction, cleansing, validation, modeling, interpretation and reporting.
Take data, understand it, process it, extract value from it, and communicate if visually / verbally to team members and key stakeholders throughout the organization.
Work closely with customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions.
Deliver ad hoc reporting and analytics within an agreed-upon SLA.
Play an active role in business reviews, especially in reviewing analytical findings and in strategic planning discussions.
Ensure solutions meet the client’s needs, support the extraction of actionable information, and align with client objectives.
Provide consulting support on all data-related solutions (program design, report design, data feed design, data aggregation, etc.).
Qualifications:
Expertise in developing Tableau dashboards using best practices, required
Experience manipulating large data sets leveraging tools such as Hadoop and Data Wrangling and pulling data from data warehouses, marts and lakes.
Proficient knowledge of SQL, required
R, Python, TOAD and SQL workbench, a plus
Expertise in doing Root Cause Analysis and resolving performance bottlenecks
Excellent problem-solving and critical thinking skills required
Strong proficiency in all aspects of design, development and testing and best practices of Enterprise application and/or reporting implementations;
Strong proficiency in the design, development and/or maintenance of reporting systems and databases
Ability to interpret data to help in strategic decision making.
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Effective communication skills and ability to translate numbers into a story
Professional, positive demeanor
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
May 30, 2019
Full-time
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
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
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
As an IA/BigData Developer: you will create custom batch-oriented and real-time streaming data pipelines working within the Hadoop ecosystem, creating new data workloads/applications and also migrating applications from On-Premise Ecosystem to Cloud Data lakes. Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka , etc. to solve large scale processing problems in a Cloud cluster enviornment. Ensure proper data governance policies are followed by implementing defining project specific quality checks, classification, etc. Apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and teaming skills, including the ability to work effectively in agile / scrum environment. Demonstrated interest and ability to quickly learn new technologies.
Responsibilities:
Proficient understanding of distributed computing principles
Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop
Experience with various messaging systems, such as Kafka or RabbitMQ
Good knowledge of Big Data querying tools, such as Pig or Hive
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with integration of data from multiple data sources
Ability to solve any ongoing issues with operating the cluster
Experience with scripting languages and automation of processes
Proven track record of development accomplishments in highly collaborative environment
Translate complex functional and technical requirements into detailed design
Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following
Basic Qualifications:
Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions
2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation.
2-5 years software development experience in JAVA, Javascript, SQL
NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful)
Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos.
Experience with Artificial Intelligence and Machine Learning is a plus
Experience using with Code Management/CICD tools like GITHub, Jenkins is useful
Prior experience with automation is helpful
Prior experience working in a Linux/Unix enviornment is helpful
Prior experience working in an enterprise technology environment is helpful
Jun 01, 2019
Full-time
As an IA/BigData Developer: you will create custom batch-oriented and real-time streaming data pipelines working within the Hadoop ecosystem, creating new data workloads/applications and also migrating applications from On-Premise Ecosystem to Cloud Data lakes. Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka , etc. to solve large scale processing problems in a Cloud cluster enviornment. Ensure proper data governance policies are followed by implementing defining project specific quality checks, classification, etc. Apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and teaming skills, including the ability to work effectively in agile / scrum environment. Demonstrated interest and ability to quickly learn new technologies.
Responsibilities:
Proficient understanding of distributed computing principles
Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop
Experience with various messaging systems, such as Kafka or RabbitMQ
Good knowledge of Big Data querying tools, such as Pig or Hive
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with integration of data from multiple data sources
Ability to solve any ongoing issues with operating the cluster
Experience with scripting languages and automation of processes
Proven track record of development accomplishments in highly collaborative environment
Translate complex functional and technical requirements into detailed design
Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following
Basic Qualifications:
Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions
2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation.
2-5 years software development experience in JAVA, Javascript, SQL
NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful)
Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos.
Experience with Artificial Intelligence and Machine Learning is a plus
Experience using with Code Management/CICD tools like GITHub, Jenkins is useful
Prior experience with automation is helpful
Prior experience working in a Linux/Unix enviornment is helpful
Prior experience working in an enterprise technology environment is helpful
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 advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, 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.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
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 aggressive 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
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 experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
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 advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, 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.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
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 aggressive 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
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 experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
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
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This individual is a key analyst and insights contributor on the Account Based Marketing & Insights team. The role will focus on generating new, repeatable and actionable insights for the Adobe Americas business.
This position will spearhead and become an expert in Enterprise account engagement score and marketing qualified account measurement efforts. This includes discovering and understanding new and existing data sets, working with engineers to scale repeatable reporting, liaising with marketing and business counterparts, and driving adoption of new measurement frameworks.
This role will be responsible for generating strategic insights from the data to help develop test plans, inform audience targeting, and program/media mix and content and creating a feedback loop of performance and strategy from the business partners to the Account Based Marketing Team and recommending strategies to improve Adobe’s understanding of accounts in a scalable way.
Responsibilities
We’re looking for someone who is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, or deadlines, is meticulous and detail oriented, and is a self-starter.
Cleaning and analyzing data, then translating it into a relatable and easily understood story that resonates with internal stakeholders and external clients.
Building internal relationships with key stakeholders to understand business and sales opportunities and needs, developing plans of execution, and ensuring insights and recommendations are readily available.
Recommending methods of data ingestion to ensure findings, strategies, and insights that are important to business counterparts are ingested as part of Account Based Marketing & Insights
Gathering data in different SQL and Hadoop databases and analyzing large sets of data to identify new trends and insights.
Requirements
BS/BA in business, marketing, economics, or similar degree preferred
3-5 years in a business analyst or consulting role, working with large, differentiated data sets within varying industries preferred
Experience with account based frameworks, measurement and implementation helpful
B2B business experience and background in marketing strategies and tactics preferred
Proficient in SQL, with a strong understand of relational databases; passionate about data analysis
Love for Excel and data analysis and advanced understanding of SQL and database querying
Familiarity with Hadoop and unorganized data structures; Joining disparate data sources together for insights and results
Passionate for translating data and trends into meaningful insights and stories
Excellent written communication skills
Excellent time management and project management skills, including building relationships with internal clients to understand requests and building strategic plans to meet those requests
Knowledge and hands-on experience with Adobe products (Adobe Stock, Adobe Analytics) preferred
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
This individual is a key analyst and insights contributor on the Account Based Marketing & Insights team. The role will focus on generating new, repeatable and actionable insights for the Adobe Americas business.
This position will spearhead and become an expert in Enterprise account engagement score and marketing qualified account measurement efforts. This includes discovering and understanding new and existing data sets, working with engineers to scale repeatable reporting, liaising with marketing and business counterparts, and driving adoption of new measurement frameworks.
This role will be responsible for generating strategic insights from the data to help develop test plans, inform audience targeting, and program/media mix and content and creating a feedback loop of performance and strategy from the business partners to the Account Based Marketing Team and recommending strategies to improve Adobe’s understanding of accounts in a scalable way.
Responsibilities
We’re looking for someone who is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, or deadlines, is meticulous and detail oriented, and is a self-starter.
Cleaning and analyzing data, then translating it into a relatable and easily understood story that resonates with internal stakeholders and external clients.
Building internal relationships with key stakeholders to understand business and sales opportunities and needs, developing plans of execution, and ensuring insights and recommendations are readily available.
Recommending methods of data ingestion to ensure findings, strategies, and insights that are important to business counterparts are ingested as part of Account Based Marketing & Insights
Gathering data in different SQL and Hadoop databases and analyzing large sets of data to identify new trends and insights.
Requirements
BS/BA in business, marketing, economics, or similar degree preferred
3-5 years in a business analyst or consulting role, working with large, differentiated data sets within varying industries preferred
Experience with account based frameworks, measurement and implementation helpful
B2B business experience and background in marketing strategies and tactics preferred
Proficient in SQL, with a strong understand of relational databases; passionate about data analysis
Love for Excel and data analysis and advanced understanding of SQL and database querying
Familiarity with Hadoop and unorganized data structures; Joining disparate data sources together for insights and results
Passionate for translating data and trends into meaningful insights and stories
Excellent written communication skills
Excellent time management and project management skills, including building relationships with internal clients to understand requests and building strategic plans to meet those requests
Knowledge and hands-on experience with Adobe products (Adobe Stock, Adobe Analytics) preferred
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Adobe is an industry leader in customer intelligence. We have solutions to empower our enterprises to understand their customers as people – what they want, need, and believe, and to leverage insights to help business to deliver the most delightful customer experiences.
Our engineering team is responsible for the Adobe compute on Data Platform which is the foundation for the Adobe Experience Cloud. Adobe has dozens of petabytes of data to manage and bring value to our customers.
The query engine on Data Platform provides state-of-the-art capabilities for data query, advanced analytics (segmentation, sessionization, customer journey, stitching and others) and integrated into machine learning services. We use Big Data and open source technologies to develop various services for Adobe Solutions, Customers and Partners.
The scalable Query engine is a key component of the Adobe Data Platform. We are building a next generation of Query Services that can scale at the petabyte level. We are looking for strong candidates with expertise in both SQL and no-SQL databases as well as commercial or open source SQL query engines.
What you need to succeed:
3+ years as a Lead/Chief Architect working on enterprise software on a distributed platform.
Recognized Subject-Matter Expert in database / big data engineering.
Plus to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Drill, Atlas, Impala
In depth experience with No-SQL as well as RDBMS
Proficiency in data structures and algorithms
Cost consciousness around computation and memory requirements
Track record of extraordinary achievements in the industry of big data & cloud computing
Strong verbal and written communication skills
PhD/MS in Computer Science
Strong management and leadership skills
Proficiency in developing very large distributed systems with low-latency streaming.
What you’ll do
Lead the technical design, vision and implementation strategy for major systems & components of the Adobe Experience Cloud data platform mainly driving the Query Service vision.
Build and own critical parts of the services and deliver to production
Ability to articulate the design and code choices to cross functional teams
Ability to mentor and guide a high performing team
Reviewing and providing feedback on features, technology, architecture, designs, and test strategies
Managing projects, mitigating risks & creative problem solving
Developing and evolving engineering to optimize team efficiency
Partner with other teams across Adobe for achieving common goals
3-5 year as a lead/Chief Architect on distributed platform
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
Adobe is an industry leader in customer intelligence. We have solutions to empower our enterprises to understand their customers as people – what they want, need, and believe, and to leverage insights to help business to deliver the most delightful customer experiences.
Our engineering team is responsible for the Adobe compute on Data Platform which is the foundation for the Adobe Experience Cloud. Adobe has dozens of petabytes of data to manage and bring value to our customers.
The query engine on Data Platform provides state-of-the-art capabilities for data query, advanced analytics (segmentation, sessionization, customer journey, stitching and others) and integrated into machine learning services. We use Big Data and open source technologies to develop various services for Adobe Solutions, Customers and Partners.
The scalable Query engine is a key component of the Adobe Data Platform. We are building a next generation of Query Services that can scale at the petabyte level. We are looking for strong candidates with expertise in both SQL and no-SQL databases as well as commercial or open source SQL query engines.
What you need to succeed:
3+ years as a Lead/Chief Architect working on enterprise software on a distributed platform.
Recognized Subject-Matter Expert in database / big data engineering.
Plus to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Drill, Atlas, Impala
In depth experience with No-SQL as well as RDBMS
Proficiency in data structures and algorithms
Cost consciousness around computation and memory requirements
Track record of extraordinary achievements in the industry of big data & cloud computing
Strong verbal and written communication skills
PhD/MS in Computer Science
Strong management and leadership skills
Proficiency in developing very large distributed systems with low-latency streaming.
What you’ll do
Lead the technical design, vision and implementation strategy for major systems & components of the Adobe Experience Cloud data platform mainly driving the Query Service vision.
Build and own critical parts of the services and deliver to production
Ability to articulate the design and code choices to cross functional teams
Ability to mentor and guide a high performing team
Reviewing and providing feedback on features, technology, architecture, designs, and test strategies
Managing projects, mitigating risks & creative problem solving
Developing and evolving engineering to optimize team efficiency
Partner with other teams across Adobe for achieving common goals
3-5 year as a lead/Chief Architect on distributed platform
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
May 01, 2019
Full-time
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
We are looking for a forwarding thinking Hadoop Systems Administrator to join our team in Bellevue, Washington. As a Hadoop Administrator, you will provide systems management and infrastructure support for Hadoop analytics systems which include various open source analytics software on Linux based servers. Review and analyze Hadoop analytics tools for appropriateness, robustness, and available support in a leading-edge hardware & software infrastructure delivery environment.
Responsibilities Include:
Provide Hadoop systems infrastructure support
Provide general systems management and maintenance of software
Provide computing system software troubleshooting and problem resolution
Provide system monitoring capabilities using approved tools and processes to validate system health
Perform root cause analysis
Coordinate with peers, end users, focals, program/product managers, and vendors as needed
Maintain and improve delivery systems availability, functionality, and performance
Develop and maintain procedures used for computing system management
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 CIO, Information & Analytics
Relocation Assistance Available No. Relocation assistance is not a negotiable benefit.
Qualifications
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' 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.
Required 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.
Minimum of 1 year work experience with Hadoop systems
Minimum of 3 years work experience with Linux
Minimum of 5 years experience in the IT industry
Experience with Linux operating system
Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it
Preferred Qualifications:
An understanding of the function and purpose of the Hortonworks Hadoop components.
Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it.
Database: Hive, LLAP, Druid.
Machine Learning: Zeppelin, Spark, Tensor Flow.
Stream Processing: Kafka, Storm, NiFi.
Operational Data Store: Phoenix, HBase.
Security: Knox, Atlas, Ranger, Kerberos.
Workload Management: Yarn, Ambari.
Developer tools: Python, Java, Bash.
Experience with Linux clustering best practices.
Networking knowledge such as: TCP/IP, Active Directory, SSO, Multi-homing.
Ability to provide technical solutions to complex problems that require ingenuity and creativity.
Good interpersonal, communication, and customer relations skills, reputation as a ‘team player.
Ability to work independently, one on one, or in a group setting.
Experience in a large and diverse production environment.
Positive ‘can-do’ attitude and ability to work in a fast-paced, demanding environment.
Knowledge of parallel database systems, a bonus.
Experience with both physical & virtual systems a bonus
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code BAUGP3
May 01, 2019
Full-time
We are looking for a forwarding thinking Hadoop Systems Administrator to join our team in Bellevue, Washington. As a Hadoop Administrator, you will provide systems management and infrastructure support for Hadoop analytics systems which include various open source analytics software on Linux based servers. Review and analyze Hadoop analytics tools for appropriateness, robustness, and available support in a leading-edge hardware & software infrastructure delivery environment.
Responsibilities Include:
Provide Hadoop systems infrastructure support
Provide general systems management and maintenance of software
Provide computing system software troubleshooting and problem resolution
Provide system monitoring capabilities using approved tools and processes to validate system health
Perform root cause analysis
Coordinate with peers, end users, focals, program/product managers, and vendors as needed
Maintain and improve delivery systems availability, functionality, and performance
Develop and maintain procedures used for computing system management
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 CIO, Information & Analytics
Relocation Assistance Available No. Relocation assistance is not a negotiable benefit.
Qualifications
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' 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.
Required 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.
Minimum of 1 year work experience with Hadoop systems
Minimum of 3 years work experience with Linux
Minimum of 5 years experience in the IT industry
Experience with Linux operating system
Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it
Preferred Qualifications:
An understanding of the function and purpose of the Hortonworks Hadoop components.
Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it.
Database: Hive, LLAP, Druid.
Machine Learning: Zeppelin, Spark, Tensor Flow.
Stream Processing: Kafka, Storm, NiFi.
Operational Data Store: Phoenix, HBase.
Security: Knox, Atlas, Ranger, Kerberos.
Workload Management: Yarn, Ambari.
Developer tools: Python, Java, Bash.
Experience with Linux clustering best practices.
Networking knowledge such as: TCP/IP, Active Directory, SSO, Multi-homing.
Ability to provide technical solutions to complex problems that require ingenuity and creativity.
Good interpersonal, communication, and customer relations skills, reputation as a ‘team player.
Ability to work independently, one on one, or in a group setting.
Experience in a large and diverse production environment.
Positive ‘can-do’ attitude and ability to work in a fast-paced, demanding environment.
Knowledge of parallel database systems, a bonus.
Experience with both physical & virtual systems a bonus
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code BAUGP3
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
