Manager, Data Science (Analytics)

Posted 8 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
eCommerce • Retail
The Role
Lead analytics for promotions and incentives strategy, building scalable frameworks to measure promo ROI, automate performance tracking, and apply advanced analytics/ML for segmentation, targeting, and impact measurement. Analyze seller behavior and inventory patterns, partner with cross-functional teams, and translate insights into actionable business strategies to optimize pricing and promotions at scale.
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.

Location: Bangalore
Experience: 6–9 years

About the Role

We are looking for an Analytics Manager to drive data-driven decision-making for eBay’s Incentives Strategy, focusing on Promotions and Special Pricing. This role sits at the intersection of analytics, product, and business strategy, and is critical in optimizing how incentives are designed, targeted, and evaluated at scale.

Key Responsibilities

  • Drive analytics for promotion sizing, targeting, and overall incentives strategy.

  • Build scalable frameworks to measure and automate promo ROI and performance tracking.

  • Analyze seller behavior and inventory patterns, including cross-platform overlap, to inform pricing and incentive decisions.

  • Apply advanced analytics and machine learning techniques for segmentation, targeting, and impact measurement.

  • Partner with cross-functional teams to translate insights into actionable business strategies.

Basic Qualifications

  • 6–9 years of experience in analytics, data science, or related roles.

  • Strong problem-solving and analytical skills with a business-first mindset.

  • Proficiency in SQL and Python/R for data analysis.

  • Experience with experimentation (A/B testing) and statistical methods.

  • Strong data visualization and storytelling skills.

Preferred Qualifications

  • Exposure to applied machine learning (segmentation, prediction models, causal inference).

  • Experience working on pricing, promotions, or marketplace/e-commerce problems.

  • Familiarity with large-scale data environments (e.g., Spark, Hive, BigQuery).

  • Exposure to AI tools, automation frameworks, or agentic AI workflows.

  • Experience working with cross-functional global teams.

What We’re Looking For

  • Ability to translate ambiguous business problems into structured analytical frameworks.

  • Strong ownership mindset and ability to drive end-to-end impact.

  • Curiosity to explore new techniques, especially in AI and automation.

  • Balance of technical depth and business acumen.

Why Join Us

  • Opportunity to work on high-impact, revenue-driving problems.

  • Exposure to cutting-edge analytics and AI applications in e-commerce.

  • Collaborative environment with strong cross-functional learning.

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

  • 6-9 years experience in analytics, data science, or related roles
  • Proficiency in SQL
  • Proficiency in Python or R
  • Experience with experimentation (A/B testing) and statistical methods
  • Strong data visualization and storytelling skills
  • Experience applying machine learning for segmentation, prediction, or causal inference
  • Experience with pricing, promotions, or marketplace/e-commerce problems
  • Familiarity with large-scale data environments (Spark, Hive, BigQuery)
  • Exposure to AI tools, automation frameworks, or agentic AI workflows
  • Experience working with cross-functional global teams

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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