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  

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 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

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.

Advance Process Solutions (APS) is looking for top UI developer talent that can, via skilled development, drive high user satisfaction as it relates to the work flow and business process related web tools within our product portfolio. This role will play a key part in developing industry standard and best-practice web applications – utilizing modern and cutting-edge development languages, frameworks and methodologies. The Team As part of the APS business unit within Fidelity Investments, you will join a Scrum team of 6-8 highly skilled individuals tasked with re-imagining the next generation of Fidelity’s work flow suite of tools – this team will be highly focused on the UI side of this effort; challenged to craft a state of the art front-end experience that creates symmetry across a suite of related products. The Expertise You Have Bachelor’s Degree in Computer Science / similar technical discipline and or equivalent experience 5+ years web development using HTML / CSS / JavaScript 3+ years expert JavaScript development skills required Skills in jQuery, Angular, Backbone, Require, Bower, Browserify, or other advanced JavaScript skills are required Familiarity with AWS and other cloud-based development methodologies / best-practices Experience with Restful APIs is a plus Server-side experience also a plus – Java / .NET / Node.js / Golang, etc. The Skills You Bring  You have experience with modern web application packaging and deployment using Yeoman, Grunt / Gulp You have experience with Maven, Nexus, Git, NPM, Jenkins You have superb communication skills You have a strong problem resolution skills You have the ability to work in a team-oriented environment The Value You Deliver  Accountable for consistent delivery of functional software – sprint to sprint, release to release High level execution of web development best-practices per Fidelity processes and standards Devising or modifying procedures to tackle dynamic and complex business problems Excellence in software development practices and procedures Participating in application level architecture Developing original and creative technical solutions to on-going development efforts Responsible for QA readiness of software deliverables (end-to-end tests, unit tests, automation) Dedicatedly supporting implementation of moderate-scope projects or major initiatives Working on dynamic and complex assignments and often multiple phases of a project Assisting in developing departmental technical policies and procedures Assisting in establishing project plans for projects of moderate scope 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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. Fidelity Investments is an equal opportunity employer.

Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment. The Team Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing. The Expertise You Have Bachelor's degree in Computer Science or Engineering 2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers. Design patterns, UML. Test Driven Development, Junit, Jasmine, Karma, Protractor. IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment. Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc. The Skills You Bring You are able to write SQL queries and debug stored procedures within an Oracle environment. You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure). You display leadership, are a  team player, collaborative, innovative, and eager to learn every day. You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”? The Value You Deliver Understanding the leadership vision and executing on that vision. Helping further strengthen the culture of innovation by setting examples. Finding creative ways to get things done, and executing with high quality. Fostering a culture of best in class software engineering practices. Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset. Helping maintain the high level of integrity in the team. Taking ownership and accountability for figuring out what needs to be done. 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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. Fidelity Investments is an equal opportunity employer.

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.

eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay! 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. The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience. Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance. The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap. The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity. Responsibilities Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development. Own the domain and associated deep dive analytics. Design, plan, and execute methodologies to measure successes of business initiatives. Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis. Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.) Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives Qualifications Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields 5+ years’ of professional experience in using data to facilitate business decisions Extensive experience in BI/DW best practices Experience in efficient manipulation and analysis of large data sets Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc) Exceptionally attentive to detail and embracing of teamwork People-oriented; eager to build positive and productive relationships with a variety of stakeholders Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools Ability to shift priorities quickly, while maintaining a high degree of organization and control 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.

Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work. Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility. What You Must Have: Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you. Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento. Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly. What You Must Do To Be Successful In This Position: Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product Apply experience working with fault-tolerant, resilient, highly-available distributed systems 6+ years of experience building Web Applications and Software-as-a-Service Platforms A demonstrated history of working and supporting DevOps culture, from build to deploy Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually Exceptional communication is a must What Skills & Experience We’d Like You To Have: Deep knowledge of PHP, Python, Java, GO – or solid OOP experience A strong background building ecommerce or Logistics applications or equivalent 5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience 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.

**THIS POSITION REQUIRES AN ACTIVE TS/SCI WITH POLY CLEARANCE** This BI&A PRIME contract is seeking a Principal Database Engineer to join a team which is responsible for provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure. This teams participates in technical research and development enabling continuing innovation within the infrastructure and ensuring system hardware, operating systems, software systems, and related procedures adhere to organizational values. Database System Engineer duties include: Provide Database System Administration to development, staging, and production environments. Develop and maintain installation and configuration procedures. Contribute to and maintain system standards. Research and recommend innovative, and where applicable automate approaches for database administrations tasks. Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems, and key processes, reviewing system and application logs, and verifying completion of scheduled job. Repair and recover from hardware or software failures. Apply patches and upgrades, upgrade database administration tools and utilities. Configure / add new services as necessary. Perform on-going performance tuning, hardware upgrades, and resource optimization as required. Education Requirements: Bachelor's Degree in a related Technical Field may be substituted for 4 years’ experience. Required Experience: 15+ years’ experience performing and providing technical support to hardware, software, and applications. 7+ years’ experience providing technical guidance to mid-level engineering personnel. Experience developing technical documentation. Technical experience to include: Strong expertise with noSQL databases: MongoDB, Cassandra. Experience with SQL databases: Oracle, mySQL Linux systems administration skills, including configuration, troubleshooting, and automation. Troubleshooting and performance tuning experience. Fluency in at least one scripting language such as Ruby, Shell, Python, or Java. Writing software for configuration management systems (Puppet, Chef, Ansible). Experience configuring and/or utilizing monitoring/logging solutions for operations such as Nagios, Kafka, or Cassandra. Desired Experience: Knowledge of Java development process Network security experience: Access and authorization - PKI, chain trusting, Central Authentication System

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 seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems. A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing. The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation. A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned. Responsibilities: The engineer will have extensive experience in software programming and deployment. Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary. The ideal candidate will have knowledge and experience with different AI approaches and techniques. Understand the cost and benefits of deploying algorithms in production environments. The types of algorithmic solutions should span across different types of data ranging from numeric, images, video, and textual (structured or unstructured) collected from domains such as autonomy, data analytics, design, platform performance and operations, robotics, safety, services, and C4ISR. Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements. Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability. Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems. Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary. Present results to the customers and lead transition of prototype tools to them as well. Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world. Division Engineering Test and Tech Relocation Assistance Available No. Relocation assistance is not a negotiable benefit. Qualifications Basic Qualifications (Required): This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee. Experience with applying deep learning for object recognition, scene classification, and scene segmentation. Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow. Experience with deploying deep learning models to production relevant environments. Experience with high level programming languages such as C, C++, C#, Java, and Python. Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques. Assets (Preferred): Experience with machine learning is highly desirable. Experience with cloud computing. Experience with GPUs. Background in SLAM, 3D reconstruction, and motion planning, path planning. Typical Education / Experience: Degree and typical experience in engineering classification: Bachelor's and 5 or more years' experience, Master's degree with experience or PhD degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard. Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code 6J7BP2

The Boeing Company is looking for a talented results driven Senior Data Scientist with applied experience in the fields of Artificial Intelligence and Machine Learning to join our team in Bellevue, WA. The Senior Data Scientist will have the opportunity to lead a small team of highly talented data scientists building next generation enterprise products and services on the Boeing AnalytX platform. As a Senior Data Scientist, you will have the chance to be part of building advanced predictive models and launch them into production, learn and apply modern machine learning techniques and see how AI and ML drives impact on Boeing. At Boeing, we are already making a difference across the industry using collective machine intelligence to deliver strong, rich and safer product experience to our commercial and government customers. We are expanding and growing in all areas in the frontier of aerospace industry. We are working on projects that utilize the latest techniques in Machine Learning (including Deep Learning, Neural network), Natural Language Processing and deep infrastructure. Paramount to success in this role is the ability to determine, define and deploy predictive/prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results. Position Responsibilities Lead a small team of data scientists to build products and services to delight our partners and customers. Analyze highly complex problems and deliver requirements specification, processing, analysis, deliverables and presentations. Work with partners and product managers to identify opportunities for improvements Own Data Science solution direction as well as the tactical execution to deliver results. Address partner pain points by building and deploying AI/ML products and services. Collaborate with customers and stakeholders to foster improvements, build culture, and best practices Coach and mentor team members to deliver cutting edge AI/ML solutions. Work with large and highly complex unstructured and structured data sets to conduct end-to-end analysis including data gathering. Conducting design, algorithm, and code reviews. Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us to build the best in breed cutting edge AI and ML products in aviation industry for our customers and for the world. Division CIO, Information & Analytics Relocation Assistance Available Yes. Available for eligible candidates, if authorized. Qualifications This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee. Basic Qualifications (Required Skills/Experience) Solid innovator who thinks out of the box and solve hard problems while navigating through ambiguity. Background in developing customer-facing experiences, a strong technical acumen, excellent technical project management skills and stellar communication skills. Strong team player and passion to execute Data Science projects with practicality in mind. 5+ years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist, computational biologist, physicist, bioinformatician). 5+  years of demonstrated leadership, self-direction, and willingness to coach others, learn new techniques and grow in field the of Data Science. Up-to-date industry and academic knowledge, and experience in building AI and ML models and bring in to full production use. Programming experience in one or more of the following: C, C++, Java, Python, Scala. Experience in Text mining, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Deep learning, etc… Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, Theano, Weka etc. Preferred Qualifications (Desired Skills/Experience): Experience training machine learning models in a cloud computing environment such as: Amazon EC2, Google Cloud Platform, Microsoft Azure, etc. Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL). Experience and knowledge in DevOps for Data Science. Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Master’s or Ph.D. in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). Typical Education/Experience Technical Bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ of related work experience or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree or greater in a mathematic, scientific or information technology field of study. Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code BEH7P4