Data Scientist (Analytics) - L24

Posted 3 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
eCommerce • Retail
The Role
Own product analytics and experimentation for eBay Live’s buyer journey. Analyze behavioral and transactional data, design A/B tests, apply causal inference, develop dashboards and measurement frameworks, improve instrumentation and data quality, and translate findings into product recommendations. Partner with Product, Engineering, Design, and business stakeholders to improve discovery, engagement, conversion, and retention.
Summary Generated by Built In

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.

We are seeking a Data Scientist (Analytics) to join the eBay Live Buyer Experience team, supporting eBay’s real-time livestream shopping experience across categories such as Collectibles, Luxury, Sneakers, and Apparel.

As eBay Live continues to scale, this role will help shape the buyer experience through product analytics and experimentation. You will partner closely with Product, Engineering, Design, and business teams to understand buyer behavior, evaluate new experiences, and identify opportunities to improve discovery, engagement, conversion, and retention.

This is a hands-on individual contributor role for someone who enjoys working with large behavioral datasets, designing rigorous experiments, and translating analysis into actionable product recommendations.

Key Responsibilities
  • Own product analytics for key areas of the eBay Live buyer journey, including discovery, viewing, engagement, bidding, purchasing, and retention.
  • Partner with Product and Engineering teams to define success metrics, KPIs, and guardrails for new features and experiences.
  • Design, analyze, and interpret A/B tests and controlled experiments, ensuring statistical rigor and clear decision criteria.
  • Apply advanced measurement approaches, including causal inference and quasi-experimental methods, when traditional A/B testing is not feasible.
  • Conduct deep-dive product analyses using funnels, cohorts, segmentation, behavioral analysis, and other statistical techniques.
  • Identify friction points and growth opportunities across the buyer journey and translate findings into actionable product recommendations.
  • Build scalable dashboards, measurement frameworks, and self-service analytics that enable faster product decision-making.
  • Partner with engineering teams to improve instrumentation, event tracking, and data quality.
  • Communicate analytical findings clearly to Product, Engineering, Design, and business stakeholders.
Required Qualifications
  • 4–8 years of experience in data science, product analytics, or related analytics roles.
  • Strong proficiency in SQL and Python.
  • Strong hands-on experience with product analytics and A/B testing.
  • Solid understanding of statistics, experimental design, hypothesis testing, and causal measurement.
  • Experience analyzing large-scale behavioral, transactional, or event-level data.
  • Strong analytical problem-solving skills and ability to structure ambiguous questions.
  • Strong communication skills and ability to translate complex analysis into clear product recommendations.
  • Experience working effectively with cross-functional Product and Engineering teams.
Preferred Qualifications
  • Experience with e-commerce, marketplaces, consumer technology, or real-time products.
  • Experience with causal inference or advanced experimentation methodologies.
  • Exposure to machine learning, segmentation, personalization, or recommendation use cases.
  • Experience working in an early-stage or rapidly scaling product environment.
  • Interest in leveraging AI and automation to improve analytics workflows.

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 [email protected]. 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.


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Skills Required

  • 4–8 years of experience in data science, product analytics, or related analytics roles
  • Strong proficiency in SQL and Python
  • Hands-on experience with product analytics and A/B testing
  • Understanding of statistics, experimental design, hypothesis testing, and causal measurement
  • Experience analyzing large-scale behavioral, transactional, or event-level data
  • Strong analytical problem-solving skills and ability to structure ambiguous questions
  • Strong communication skills and ability to translate complex analysis into clear product recommendations
  • Experience working effectively with cross-functional Product and Engineering teams
  • Experience with e-commerce, marketplaces, consumer technology, or real-time products
  • Experience with causal inference or advanced experimentation methodologies
  • Exposure to machine learning, segmentation, personalization, or recommendation use cases
  • Experience working in an early-stage or rapidly scaling product environment
  • Interest in leveraging AI and automation to improve analytics workflows

eBay Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.

  • Healthcare Strength Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
  • Leave & Time Off Breadth A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
  • Equity Value & Accessibility Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.

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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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