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.

Build the foundations for understanding Stripe. Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year. With all this data, the Data Science team is looking for talented engineers to help us manage business critical data leveraged across the entire organization. If you are data curious, excited about designing data pipelines, and motivated by having impact on the business, we want to hear from you. Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Engineering and Business to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s products are being used and how we can better serve our customers. You will: Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across Stripe Design, develop, and own data pipelines and models that power internal analytics for product and business teams Help the Data Science team apply and generalize statistical and econometric models on large datasets Drive the collection of new data and the refinement of existing data sources, develop relationships with production engineering teams to manage our data structures as the Stripe product evolves Develop strong subject matter expertise and manage the SLAs for those data pipelines Some things you might work on: Develop unified user data schemas and tables that provide a complete view of the business across our various products such as Stripe Connect, Atlas, or Sigma Build data pipelines that track our marketing funnel from visits to onboarding to active usage of Stripe Work on our centralized experimentation platform to pipeline experiment metrics and compute descriptive statistics Improve our data visualization tooling and platform at Stripe to help the team create dynamic tools and reporting Our stack spans tools in Scala, Python, R, Javascript, React, SQL You might be a fit for this role if you: 5+ Years of experience in a Data Engineering or Data Science role, with a focus on building data pipelines or conducting data intensive analysis. Have a strong engineering background and are interested in data Have prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc…) Have an inquisitive nature in diving into data inconsistencies to pinpoint issues Knowledge of a scientific computing language (such as R or Python) and SQL The ability to communicate cross-functionally, derive requirements and architect shared datasets You should include these in your application: A resume and LinkedIn profile

Generate insights and impact from data. Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year. With all this data, we’re looking for talented data scientists to join the Data Science team to help us better understand our users and build better products. If you are data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you. You will: Work closely with product and business teams to identify important questions and answer them with data Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products Design, analyze, and interpret the results of experiments Drive the collection of new data and the refinement of existing data sources You’d ideally have: 3+ years experience working with and analyzing large data sets to solve problems A PhD or MS in a quantitative field (e.g., Economics, Statistics, Sciences, Engineering, CS) Expert knowledge of a scientific computing language (such as R or Python) and SQL Strong knowledge of statistics and experimental design The ability to communicate results clearly and a focus on driving impact Nice to haves: Prior experience with data-distributed tools (Scalding, Hadoop, Pig, etc). You should include these in your application: A resume and LinkedIn profile Description of the most interesting data analysis you’ve done, key findings and its impact Link or attachment of code you’ve written related to data analysis