Manager, Data Science (Analytics) L25
eBay · Bengaluru
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.
Manager, Data Science (Analytics) — eBay Live Buyer Experience | L25
Role Overview
We are seeking a Manager, Data Science (Analytics) to play a senior analytics role within the eBay Live Buyer Experience team, supporting eBay’s real-time livestream shopping experience across categories such as Collectibles, Luxury, Sneakers, and Apparel.
This is a senior individual contributor role, not a people-management position. You will combine deep technical expertise in product analytics and experimentation with strong product judgment, cross-functional leadership, and analytical thought leadership.
You will own complex product problem spaces end to end, shape measurement and experimentation strategy, and partner closely with Product, Engineering, Design, and business leaders to influence the evolution of the eBay Live buyer experience. You will also mentor junior data scientists and help raise the analytical bar across the team.
Key Responsibilities
Product Analytics & Thought Leadership
- Own analytics for strategic areas of the eBay Live buyer experience, spanning discovery, engagement, bidding, purchasing, conversion, and retention.
- Act as an analytics thought partner to Product leadership, proactively identifying opportunities and shaping product strategy through data.
- Define analytical frameworks, success metrics, and measurement approaches for complex and ambiguous product initiatives.
- Connect insights across the buyer journey to identify broader opportunities for engagement and sustainable growth.
Experimentation & Advanced Measurement
- Lead the design and analysis of A/B tests and controlled experiments, including experiment design, metric selection, statistical analysis, and interpretation.
- Shape experimentation strategy for complex product changes, including situations involving network effects, interference, heterogeneous treatment effects, or other measurement challenges.
- Apply causal inference and quasi-experimental techniques when randomized experimentation is not possible.
- Establish rigorous measurement frameworks that enable confident product and investment decisions.
Advanced Analytics & Data Science
- Lead deep analytical investigations using funnels, cohorts, behavioral segmentation, statistical modeling, and other advanced techniques.
- Apply supervised and unsupervised learning where appropriate to understand buyer behavior, segmentation, propensity, and engagement.
- Identify opportunities to leverage AI and advanced analytics to improve buyer experiences and scale decision-making.
- Build reusable analytical frameworks and tools that increase the effectiveness of the broader team.
Cross-functional Leadership & Influence
- Lead complex analytical initiatives involving Product, Engineering, Design, and business teams.
- Influence senior stakeholders through clear analytical reasoning, product judgment, and compelling storytelling.
- Drive alignment on metrics, experimental approaches, tradeoffs, and recommendations.
- Proactively identify important questions and opportunities rather than operating solely against incoming analytical requests.
Mentorship & Analytics Excellence
- Mentor junior data scientists and analysts on experimentation, product analytics, problem solving, and stakeholder engagement.
- Review complex analyses and experiment readouts and help maintain a high bar for analytical rigor.
- Contribute to analytics standards, best practices, and foundational capabilities as eBay Live scales.
Required Qualifications
- 7–11 years of experience in data science, product analytics, or related analytics roles.
- Strong proficiency in SQL and Python.
- Deep hands-on expertise in product analytics, experimentation, and A/B testing.
- Strong understanding of statistics, experimental design, and causal inference.
- Experience applying advanced analytical or machine-learning techniques to large behavioral datasets.
- Demonstrated ability to independently lead complex, ambiguous analytical problem spaces.
- Strong product intuition and ability to translate data into product strategy and recommendations.
- Proven ability to influence senior cross-functional stakeholders without formal authority.
- Excellent communication and storytelling skills.
- Experience mentoring and developing junior analytics professionals.
Preferred Qualifications
- Experience with e-commerce, marketplaces, consumer technology, or real-time products.
- Advanced experience with experimentation methodologies and causal measurement.
- Experience with segmentation, propensity modeling, personalization, or recommendation systems.
- Experience operating in 0→1 or rapidly scaling product environments.
- Experience applying AI/LLMs or agentic analytics to improve analytics productivity or customer experiences.
Additional Details
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.