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Senior Manager, Data Science & Analytics

TCGplayer (Apply) Open
Bengaluru Full-time Senior Data Science

At a glance

Senior Data Science role at TCGplayer (Apply). Bengaluru · full-time.

Pay not stated Data Science salary

RoleData Science
SenioritySenior
LocationBengaluru
EmploymentFull-time
PostedNov 9, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Lead, hire and develop data scientists and analysts, setting expectations for rigorous work and continued growth
  • Advise global leaders across product, engineering, marketing and operations, using analytics to shape decisions
  • Find and size revenue opportunities, then turn marketplace insights into plans that improve buyer discovery and seller sales
  • Guide causal analysis, experiments, predictive models and ad ranking or auction optimization
  • Embed generative AI, language models and agent workflows into analysis, reporting and automated storytelling

What you bring

  • At least nine years in data science or analytics, including direct experience leading and mentoring teams
  • A track record in retail media, digital advertising or two-sided marketplaces, with knowledge of auctions and monetization
  • Advanced SQL and Python skills, plus strength in large-scale data, statistical modeling and experimentation
  • A quantitative master's degree or equivalent practical experience

Who this fits

This senior role suits someone who has led analytics teams and can influence executives across global, cross-functional groups. You'll work on advertising and marketplace questions, with a focus on rigorous analysis and AI-enabled workflows.

From the employer

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.

Senior Manager, Data Science & Analytics


Scale: Influencing a $2B+ annual revenue business across one of the world's largest e-commerce datasets


Context & Mission


eBay Advertising is a core, fast-growing retail media business connecting global sellers with high-intent buyers. The Analytics team covers the end-to-end data lifecycle across major ad formats—including Search Monetization, Recommendations, Promoted Listings (CPC/CPA), Promoted Stores, Offsite Ads, Brand Advertising, Live Commerce, and Video Ads.


The organization is actively executing an AI-First Vision: moving beyond basic productivity tools to build agentic AI workflows, automated analytical pipelines, and self-improving knowledge repositories that redefine how insights are uncovered and applied.


Key Responsibilities

  • Lead & Mentor Talent: Manage, recruit, and coach a high-performing team of data scientists and analysts at the IAC, fostering technical rigor and continuous growth.
  • Shape Strategy & Roadmaps: Act as a strategic thought partner to global leadership across Product, Engineering, Product Marketing, GTM, and Business Operations to drive data-informed decisions.
  • Drive Business & Marketplace Growth: Identify and quantify revenue opportunities, translating complex marketplace dynamics into actionable strategies for buyer discovery and seller sales acceleration.
  • Advanced Methodological Rigor: Oversee complex analyses, causal inference, advanced experimentation (A/B testing), predictive modeling, and ad ranking/auction optimization.
  • Champion AI-First Transformation: Integrate generative AI, LLMs, and agentic workflows into daily data processes to scale exploration, reporting, and automated storytelling.
  • Global Stakeholder Management: Communicate high-impact analytical narratives and executive-level recommendations across distributed global teams.

Qualifications Required:

  • Experience: 9+ years in Data Science, Product Analytics, or Business Analytics, including dedicated people leadership and team mentorship.
  • Domain Knowledge: Proven background in retail media, digital advertising, or two-sided marketplaces—with strong grounding in ad auctions, ranking, monetization funnels, and seller value propositions.
  • Technical Toolkit: Advanced proficiency in SQL, Python, large-scale data systems, statistical modeling, and rigorous experimentation frameworks.
  • Education: Master’s degree in a quantitative discipline (Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics) or equivalent practical experience.
  • Execution & Soft Skills: Strong executive presence, cross-functional influence, and the ability to turn ambiguity and complex data into tangible business outcomes.

Preferred:

  • Practical experience applying ML, causal inference, and optimization techniques to marketplace problems.
  • Hands-on experience developing or embedding LLMs, GenAI tools, and AI agents into production analytical workflows.
  • Proven track record of building reusable analytical infrastructure, metrics frameworks, and shared knowledge repositories.

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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.