29 jobs found

“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being part of Walt Disney Attractions Technology (WDAT) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As the Senior Manager in the Information Advantage (IA) organization, you will be working in latest big data, cloud and AI/ML technologies and responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects across business functions. This role will oversee the end to end program delivery, technical success of the projects and develop a repeatable delivery framework across various initiatives. Responsibilities: Responsible for delivering large scale projects on time, budget and high quality. Leading large programs from ideation, solution, estimation, implementation and sustainment. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently Ability to facilitate business, technical and management discussion with large diverse groups and provide leadership support. Ability to develop integrated release planning for large programs across multiple teams and instill agile and development methodology processes. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently Responsible for executive and management reporting on status, accomplishments and on time escalation for issue resolution. Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore). Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality. Manage buget effectively working closely with finance controllership and able to build forecast and minimizing actual variance. Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers. Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels across the Walt Disney Company. Develop and manage effective working relationships with other departments, groups and staff Enforce and grow a culture focused on quality Basic Qualifications: 15+ years of experience in technology especially in data management space including delivering atleast 5+ multi-million dollar data management delivery projects 5+ years of experience in delivering technology initiatives involving big data, cloud and data science capabilities. Experience and understanding of modern data technologies and patterns especially Hadoop, Python, Spark, cloud native data management process, NoSQL databases, docker containers, etc Experience working cloud platforms such as AWS, Google Cloud, Azure Experience with ML frameworks and understanding of algorithms (regression, classification, etc) is a big plus Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into business solutions Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the Data Management, Cloud and ML Framework Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems Passionate about data, technology, and challenging the status quo Proven experience providing technical mentorship to team members Comfortable working in a team environment using agile methodologies Strong communication, interpersonal skills and fortitude to get stuff done Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Experience in a large media or technology company and working with revenue management, digital, customer engagement initiatives is a big plus Success at delivering large scale technology delivery projects on-time and on-budget. A comfort level with complex, matrixed organizations containing a certain amount of ambiguity Preferred Qualifications: Master’s degree in computer science or related field/work experience  

The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must. Responsibilities: Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered Deep knowledge of statistical principles and the underlying data assumptions on which they rely Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation Ability to program in Python, R, or other statistical programming language(s) Familiarity with databases and data retrieval, including SQL A passion for data, entertainment, and technology Preferred Qualifications: Previous experience in entertainment Knowledge of the video streaming industry Experience working with real-time streaming data Previous experience or internships in a data science role Hands-on experience with AWS or other similar cloud services Demonstrated delivery of machine learning techniques in real-time applications The ability to effectively communicate technical ideas to both technical and non-technical audiences  

This role is responsible for the Walt Disney Attractions Technology and technical ownership of Disney Cruise Parks Data Platform. Provide open-Source component evaluation and roadmap definition and oversight, to justify and direct key technology decisions. Coordinate with Solution and Cloud Engineering, and Reference Architecture for review and approvals Manage and execute against financial, project and delivery commitments for approximately $15m budget- including Parks Data Platform development, Cloud Migration and Platform Sustainment Provide technical leadership of: Parks Data Platform (PDP) ecosystem delivery including component integration and configuration engineering, monitoring, security, automation and deployment Cloud Migration Initiative, migration and decommissioning from legacy platforms Define the strategic technical direction of our Parks Data Platform Drive the Cloud migration program, including definition and delivery of milestone roadmaps with executive steering committee oversight and approvals Consolidate platform team’s key roles and processes for Governance (Meta-Data), Support and Release Management Define appropriate Governance, Support and Release success metrics to measure continuous improvement targets. Manage a quarterly review and communications, updating targets as key outcomes are achieved. Mentor, teach and train the team. Drive clarity and alignment by partnering with peer technology organizations Deliver reference Architecture standards definition and delivery for Information Advantage Basic Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related discipline. Experience with building and leading mediums sized teams of engineers and architects (10-15 FTE) including managing resource and financial planning, and vendor management Previous experience with Data platform analytic technologies, including the following: Expert knowledge of Cloud deployment technologies, Object Store and Hadoop distributed ecosystem for building production- highly scalable and resilient systems/services Experience designing and developing data flow pipelines for high latency/batch, low latency- messaging, streaming or near-real time data delivery Build in security, data quality and performance/scalability as appropriate to the dataset Cloud, private cloud and on premise configurations, appropriate use of each Open source Big Data and AI/ML architecture and integration patterns Present effectively to all levels and businesses. You will be a presenter at quarterly town halls and speak for the achievements of the organization, accomplishments and future vision and the overall progress. Able to present complicated technology concepts in a simple manner, and present key technology challenges or overviews with senior technology leadership (C Level Execs) Evaluates and anticipates risks and solutions before taking action, clearly articulating options and their impacts/consequences. Course correction, expecting failure and ability to respond efficiently Facilitates various forums that promote collaboration and knowledge sharing, highly collaborative and resilient/perseverant Maintains awareness of best practices and emerging technologies and their viability at WDAT Maintains high levels of technical knowledge through ongoing research and development activities. Demonstrated exceptional critical thinking, strategic planning, and process management skills Provide clear direction and quality feedback when aligning expectations with competency and trajectory for individuals at all levels and their career paths. Preferred Qualifications: Demonstrated knowledge and experience with automation and continuous improvement tools, frameworks and mindset. Ability to perceive and synthesize patterns and relationships between technologies, processes, and business models. Familiarity with networking infrastructure and system design of load balancers, firewalls, and VPN in virtual machines and containerized applications. Knowledge of rules processing- data type casting, formatting, transformation and enrichment. Meta-data management implementation using custom or packaged tools

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences. Responsibilities: Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability. Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks. Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies. Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous. Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers. ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs. Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams. Basic Qualifications: Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis. Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services. Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases). Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud. Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning. Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passion and creativity – Are passionate about data, technology, & creative innovation Preferred Qualifications: Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment. Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well. Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes. Experience in working with Data Scientists to operationalize machine learning models. Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share. Required Education: Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience Preferred Education: Masters in Computer Science or similar is preferred

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. Responsibilities: Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Coach data engineers best practices and technical concepts of building large scale data platforms Basic Qualifications:  3-5 years of experience developing in object oriented Python Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Redshift and Snowflake Building streaming data pipelines using Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow Required Education: Bachelor’s degree in Computer Science or related field or equivalent work experience

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences. Responsibilities: Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability. Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks. Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies. Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous. Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers. ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs. Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams. Basic Qualifications: Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis. Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services. Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases). Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud. Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning. Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passion and creativity – Are passionate about data, technology, & creative innovation Preferred Qualifications: Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment. Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well. Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes. Experience in working with Data Scientists to operationalize machine learning models. Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share. Required Education: Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience Preferred Education: Masters in Computer Science or similar is preferred  

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

At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting- edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills. We Are… The Advanced Analytics team within WDT Research is made up of data scientists with a variety of expertise, ranging from data engineering to machine learning to data visualization. Responsibilities: A Day in the Life… You will support the Advanced Analytics team within the Walt Disney Television Research team. Leveraging tools like Tableau, SQL, R, and Python, you will assist in building out dashboards that automate existing reports, creating visualizations that allow business users to dive deeper into data, perform analysis to improve marketing campaign performance, and much more! Basic Qualifications: What You Bring to the Role… Strong analytical and problem solving skills Demonstrated experience using SQL to manage large multi-dimensional data sets Experience with Python and/or R Proficiency in developing Tableau dashboards Strong oral and written communication skills Experience collecting & analyzing data and reporting on the results Strong attention to detail Proficiency in Microsoft Excel including advanced formulas Strong sense of responsibility, ownership, and pride in delivering quality results Preferred Qualifications: Experience building machine learning models Previous experience in News and/or Entertainment, analyzing app behavior Required Education: Currently pursuing (or recently graduated with) a Master's degree in Data Science, Statistics, Mathematics, Operations Research, Physics or other related quantitative field GPA of 3.0 or higher Additional Information: Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Dates: Interns must be fully available from September 2019 through December 2019. Must be able to work 40 hours a week, Monday through Friday. Required Materials: Resume and transcripts must be uploaded at time of online application. Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program. Housing: Interns must provide their own housing for the duration of their internship program.  

Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives. More specifically, you will: Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models. Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment. Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process. Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities. Facilitate and identify repeatable testing strategies for measuring results produced by analytics models. What are we looking for? We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills: Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities Effective communicator, collaborator, influencer and solution seeker across a variety of opinions Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred To fulfill this role successfully, you must possess the following minimum qualifications and experience: BA/BS Bachelor's Degree Three (3) years of professional experience Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts Exceptional problem solving capabilities, including analytical, quantitative and statistical skills Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty Exposure to IoT technology Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

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

***This position can be located at our corporate office in Dallas, TX or McLean, VA*** Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives. More specifically, you will: Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments. Conduct analysis and highlight significant patterns to increase customer and owner satisfaction. Actively draw insights from data to create new sources of value. Communicate results and ideas to business and technical teams. Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing. Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake. Partner with the Product Teams to understand needs and incorporate findings. What are we looking for? We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills: Exceptional problem solving, analytical, quantitative, and statistical skills. Experience in handling multiple contending priorities simultaneously. Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive. To fulfill this role successfully, you must possess the following minimum qualifications and experience: BA/BS Bachelor's Degree Three (3) years of professional experience Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++ It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree Four (4) years of professional experience Experience in IoT analytics model development involving sensors and connected devices Experience in model development involving distributed big data sets (Spark, Scala, Hadoop) Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift) What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day.  And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor. The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion. Essential Responsibilities Build and prototype analysis pipelines in order to provide insights at scale. Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion. Run live experiments that drive key product decisions. Work with data engineers to embed the research into production pipelines. Partner with product management and marketing teams to identify opportunities, envision and design technology products. Assist with creating the data infrastructure and analytics environments. Participate in the DevOps practice as it pertains to data team. Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products. Other duties as assigned. Minimum Experience and Qualifications Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education. One (1) years’ experience in an Analyst role. Good understanding of software engineering environments and standards. Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships. Pass a ten (10) year background check and pre-employment drug test. Legally eligible to work in the country in which the position is located. Proficient in Python with numpy, pandas. Proficient with Jupyter notebooks, Datalab notebooks. Proficient in linear algebra and statistics. Familiar with DataStudio, Looker, Tableau. Familiar with basic SQL for structured and unstructured data. Familiar with cloud technologies, SAAS, IAAS. Familiar with ML concepts. Preferred Experience and Qualifications Maintaining a public profile and building relationships throughout the organization. Three (3) years’ experience in technology roles. Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform. Crewmember Expectations: Regular attendance and punctuality. Potential need to work flexible hours and be available to respond on short-notice. Well-groomed and able to maintain a professional appearance. When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft. Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun. Equipment: Computer and other office equipment. Physical Effort: Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary) Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change. JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity. We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to:  influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers. As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally. The Expertise We’re Looking For Bachelor’s degree in Computer Science or similar discipline. 5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB) Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements Document data inventory and data flow diagrams to determine what can be measured, when and how Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets) The Purpose of Your Role Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems; Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications. Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.  The Skills You Bring Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Your Big Data Skills with popular stacks like Hadoop and Spark Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform Your expertise in all phases of data modeling, from conceptualization to database optimization. Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals Your desire and aptitude for learning new technologies Your excellent verbal and written communication skills The Value You Deliver Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation Create data monitoring models for each product and work with our marketing team to create models ahead of new releases Ability to build data models supporting complex transformation Identifying and ingesting new data sources and performing feature engineering for integration into models How Your Work Impacts the Organization Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. Fidelity Investments is an equal opportunity employer.

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 position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend). This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy. Qualifications Minimum Qualifications: Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus). Minimum 4 years of experience in marketing, sales or business analytics. Experience with data mining software packages such as R, PYTHON, SAS, SPLUS. SQL and statistical algorithms and modeling. Experience working with large and complex data sets. Experience in predictive modeling and machine learning algorithms. Additional Preferred Characteristics: Effective presentation/communication skills and the ability to interpret and simplify data for others. Communicate conclusions in a clear and sharp manner. Work well independently as well as part of a broad team. Innovative attitude and out-of-the-box thinking. Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel. Inside this Business Group Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide. Other Locations US, California, Santa Clara Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.