About the team and role:The Buyer Success Product Analytics team is responsible for setting the strategic direction of eBay: our ambition, where we play, and how we win in the market. We play a meaningful role in crafting eBay's C2C marketplace future. We inform investment choices to encourage balanced growth, engagement, and marketplace vibrancy. We partner closely with Product, Engineering, Design, and Business leaders to define success across the end-to-end buyer journey and ensure data-driven decisions at scale.
We are seeking a Data Scientist (L24) to take a leadership role in accelerating eBay's C2C strategy across core buyer experiences, including Homepage, Discovery & Recommendations, View Item, and Community surfaces (e.g., My eBay and key engagement initiatives). In this role, you will own data analysis for one or more high-impact product domains. You will create the measurement and experimentation roadmap. You will develop robust metrics, segmentation, and evaluation frameworks. These frameworks will optimize personalized discovery, trust, and buyer-seller engagement in a C2C marketplace.
You will act as a strategic thought partner to Product, Engineering, Design, and Business stakeholders, translating complex data into clear narratives and actionable recommendations that drive buyer and seller engagement, increase marketplace vibrancy, and deliver incremental GMB/GMV. This is a high-impact role influencing how millions of buyers discover outstanding inventory and how buyers and sellers connect and transact across the eBay ecosystem.
What you will accomplish:As a Data Science Analyst, you will have the outstanding opportunity to:
- Applies advanced statistical theory and machine learning techniques to develop novel analytical approaches to complex product problems.
- Designs and builds new measurement frameworks, experimentation methodologies, and modeling approaches where none exist.
- Owns end-to-end analytics strategy for Buyer C2C product domains, including defining success metrics, experimentation roadmaps, and long-term measurement approaches.
- Operates with a high degree of autonomy in solving ambiguous, open-ended product and marketplace problems with significant business impact.
- Directly influences revenue and marketplace outcomes through data-driven recommendations impacting buyer and seller behavior at scale.
- This role is not focused on routine reporting or operational KPI tracking, but on forward-looking, experimental and predictive analysis to shape product direction.
- Leads design, execution, and interpretation of A/B tests and quasi-experimental methods to establish causal impact of product changes.
- Partners with and influences senior Product, Engineering, and Business leaders on roadmap trade-offs and investment decisions.
- Drives thought leadership in analytics by introducing new methodologies, tools, or modeling approaches that advance product understanding.
Your work will be pivotal in improving the end-to-end buyer experience across the buyer lifecycle, strengthening buyer & seller relationships, and enabling eBay's broader C2C ambitions. We are looking for a leader who combines strong technical depth with strategic thinking, business acumen, and the ability to navigate and optimize a complex, global marketplace.
What you will bring:- 3-5 years of experience in analytics/data science
- Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc.
- Good experience with site experimentation (A/B testing).
- Strong analytical foresight with thought leadership and critical thinking.
- Experience in advanced Machine Learning models and skills like Ensemble Models, LLM and Krylov, PyTorch, Tensorflow, Transformer etc.
- Good experience with both descriptive and inferential statistics - ability to build basic prototype models.
- Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities, preferably in leading technology companies.
- Great articulation and communication skills - ability to explain complex analyses and insights into simple terms.
- Strong background in ecommerce product experience.
- Strong quantitative background with a Bachelor's degree in Computer Science, Math, Economics, Physics, Engineering. Master's degrees preferred.
Additional DetailsThe base pay range for this position is expected in the range below:
$85,600 - $151,100
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.
Remote roles are not eligible for U.S. visa sponsorship.
