Data Scientist

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the Data Science Team:

Want to help shape the future of global commerce? Improve as a data scientist? Work on interesting projects with high business impact? Join the eBay Shipping Science team.
 

Here are some of the problems we are working on:

• Using machine learning to determine item delivery dates
• Improving how fast delivery impacts product search and seller conversions
• Applying machine learning globally to improve shipping speed and quality of service.
• Optimize the buyer and seller's shipping experience at a per-transactional level.
   

Do all of the research with an eye towards support at web-scale.

We are passionate about building amazing platforms that support the growth of eBay's market share, and we are looking for top-notch data scientists who want to build scalable, business critical systems.

 

Responsibilities

• You will be directly responsible for improving eBay's shipping science.
• Design and implement end to end solutions using machine learning and AI, improving efficiency and user experience for buyers and sellers.
• Conduct experiments and evaluate the performance of the models, investigate false positive/false negatives and implement continuous improvements to retail standards.
• Collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to our shipping and trust platforms.
• Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working on a number of related technologies.
• Work with data scientists, engineers, and cross functional teams to produce end-to-end production-ready solutions.
• Maintain responsibility for quality, performance, scalability, and reliability.
• Estimate effort, build research and development plans, and prioritize work according to the needs of the business.
• Provide technical leadership and mentoring to other team members.
  
   

Experience

• Strong mathematical, statistical, and scientific modeling skills.
• Experience in predictive analytics, statistical modeling and coding.
• Proficiency in SQL and handling large datasets.
• Proficiency in Python or R.
• Proficiency in PyTorch and familiarity with recent deep learning literature for model and infrastructural optimizations and techniques. Applied experience at scale even better.
• Familiarity with Hadoop, Spark, and related technologies is a plus.
• Strong interpersonal skills and an appreciation of diversity in teamwork

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay 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 have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

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