Data Science Lead - Analyst 5

eBay • San Jose, CA

1d

About The Position

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 team and the role:
At eBay, we are building the most personalized global marketplace, powered by eBay Memory, an AI-driven system that continuously learns buyer and seller preferences across surfaces. Buyers will feel “understood” and sellers will reach the right audience effortlessly.
We are seeking a hands-on Lead Data Scientist to support the most critical components in eBay Memory - Ranking & Retrieval in Search. In this role, you will focus on optimizing eBay’s personalized and contextualized search experience, driving meaningful connections between buyers and sellers. You will have the outstanding opportunity to shape the eBay Memory & Search roadmap through your insights, experimentation, and thought leadership. Your work will directly influence how millions of people discover and interact with items on eBay. As a people and project leader, you will lead and mentor a team of at least three data scientists, providing technical guidance, setting clear priorities, and ensuring high standards of execution and delivery. You will be responsible for developing team capabilities, managing end-to-end projects, and driving excellence in both outcomes and collaboration.
With a vision to find opportunities to drive ground-breaking change in the customer experience and result in significant business growth, we mine the largest datasets in the world of e-Commerce and use best in class analytic and big data techniques to extract impactful insights. We achieve this by partnering closely with the product and engineering teams, and resolve opportunities that are accretive to the product roadmaps.

Requirements

• Master’s degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, Economics, Engineering or other related core sciences or equivalent.
• 6+ years relevant professional experience.
• Experience with site experimentation (A/B testing).
• Demonstrated success in people leadership or end-to-end complex project management, with the ability to remain hands-on in technical execution and day-to-day details while operating at a strategic level.
• You would have to strike a balance between critical thinking and actual hands-on analyses using tools & packages such as SQL, R, Python, Tableau etc.
• You possess super strong technical skills to turn big data in Hadoop into practical insights. At the same time, you also have the ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.
• In addition to delivering insights on existing Product & Tech initiatives, you will come up with innovative product growth opportunities based on insights, and build momentum through influence.
• Proactive collaboration and effective communication are needed.
• Flexible and capable of working across multiple time zones.

Nice To Haves

• Prior experience in Search and understand how a search engine works.
• Consistent track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities.
• Ability to present complex analyses and insights effectively in simple terms.
• Good experience with both descriptive and inferential statistics.
• Experience in a leading technology company.
• Background in e-commerce product experience.
• Experience with Natural Language Processing or LLM/GenAI is a plus.

Responsibilities

• Lead and mentor a team of at least three data scientists, providing technical guidance, setting priorities, and ensuring high-quality execution and delivery.
• Conduct, analyze, and deep dive into A/B tests and provide actional recommendations on improving the search features.
• Perform statistical analysis and modelling of customer’s behavioral data to identify opportunities to build new search features solving for key pain-points in search user journey
• Identify new growth opportunities and provide actionable recommendations by leveraging insights across behavioral data, customer research and data science.
• Decode and validate web tracking to analyze user behaviors around new features.
• Develop metrics to measure product success and guide product roadmap.
• Drive self-serve for commonly used metrics by building dashboards and onboarding metrics to Experimentation Platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level