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Manager, Data Science (Analytics) — eBay Live

Trust & Safety | L25

Location: Bangalore, India

Role Overview

We are seeking a Manager, Data Science (Analytics) to lead analytics for the Trust & Safety pillar within eBay Live, eBay’s real-time livestream commerce platform.

eBay Live is a fast-growing, interactive shopping experience featuring auctions and purchases across Collectibles, Luxury, Sneakers, and Apparel. As a relatively new business unit, eBay Live requires strong foundational analytics to ensure safe, trusted, and scalable growth.

The Trust & Safety team drives critical initiatives such as:

Live content moderation and enforcement
Defining and monitoring seller standards for eBay Live
Reducing bad buyer and bad seller experiences
Mitigating unpaid items and abusive behaviors

This is a senior individual contributor role with mentorship and thought-leadership responsibilities. You will own complex problem spaces end to end, shape analytical strategy, and partner closely with product, policy, operations, and engineering teams to build scalable trust frameworks.

This role is ideal for a technically strong analytics leader who enjoys business problem solving, experimentation, machine learning, and AI enablement in a 0 → 1 environment.

Key Responsibilities

Trust & Safety Analytics Ownership (Core Focus)

Own analytics for one or more strategic Trust & Safety domains within eBay Live
Define measurable success metrics for Live content integrity, seller standards, and buyer experience health
Identify key drivers of trust-related risks and propose data-backed mitigation strategies
Act as the analytics thought leader for your domain

Foundational Measurement & Scaling

Build foundational metrics and dashboards for Trust & Safety in a real-time Live environment
Partner with engineering to influence event instrumentation and data quality
Develop scalable monitoring frameworks that evolve with product growth
Establish repeatable analytical standards across the pillar

Experimentation & Causal Measurement

Design and analyze A/B tests and controlled experiments for trust-related initiatives
Apply causal inference and quasi-experimental methods when randomized testing is not feasible
Evaluate policy, moderation, and enforcement changes with statistical rigor
Clearly communicate impact, uncertainty, and tradeoffs to stakeholders

Machine Learning & AI Enablement

Develop or support ML-driven solutions such as:
- Seller segmentation and risk profiling
- Detection of abusive or low-quality behavior
- Behavioral clustering and anomaly detection
Partner with engineering and data teams to productionize analytical models
Explore AI-enabled approaches to moderation and trust diagnostics

Business Problem Solving & Strategy

Analyze root causes of unpaid items, poor buyer/seller experiences, and content violations
Conduct opportunity sizing and ROI analysis for trust initiatives
Balance trust enforcement with growth and user experience considerations
Support strategic planning and leadership reviews with structured insights

Stakeholder Management & Influence

Partner closely with product, policy, operations, engineering, and leadership teams
Drive alignment on metrics, definitions, and success criteria
Influence decisions through clear storytelling and strong analytical reasoning
Navigate ambiguity and competing priorities effectively

Mentorship & Analytics Excellence

Mentor junior analysts and data scientists through analytical and technical guidance
Raise the bar on rigor, clarity, and reproducibility
Contribute to shared best practices across eBay Live analytics

Technical Excellence

Write high-quality, scalable Python and SQL code
Design robust, interpretable analyses and models
Review complex queries, experiments, and analytical outputs for quality and accuracy

Required Qualifications

7–11 years of experience in analytics, data science, or related roles
Strong proficiency in Python and SQL
Deep experience with A/B testing, experimentation, and causal inference
Strong grounding in statistical modeling and analytical methods
Experience applying machine learning techniques (supervised and unsupervised)
Proven ability to independently own complex, ambiguous problem spaces
Strong communication and stakeholder management skills
Experience influencing cross-functional teams without formal authority

Preferred Qualifications

Experience in Trust & Safety, risk, fraud, or content moderation analytics
Experience in marketplace, e-commerce, or live/real-time platforms
Familiarity with AI-enabled moderation or behavioral detection systems
Experience working in early-stage or fast-scaling product environments
Exposure to regulated or policy-driven product domains

What You’ll Get

Ownership of analytics for a critical pillar within a strategic growth business
A senior IC role with high visibility and cross-functional influence
Opportunity to build foundational trust frameworks from the ground up
Exposure to real-time systems and complex behavioral analytics
A clear path toward L26 analytics leadership roles

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.

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