Manager, Data Science - Analytics 1
Ebay INC · 🌍 Bengaluru, India
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Ebay INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Ebay INC →
About the role
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. Role: Manager, Data Science Analytics - 1 Overview We are seeking a Manager (Title: Manager, Data Science Analytics - 1) to lead the Shipping Analytics function at eBay. In this role, you will partner closely with the Shipping business, product and engineering teams , leveraging eBay’s vast data ecosystem to uncover insights, influence the Shipping team roadmap, and drive customer-centric innovation across our marketplace. Shipping sits at the intersection of buyer experience, seller economics, and marketplace growth — influencing conversion, cost, speed, and trust across global transactions. You will lead a team of talented analysts, data scientists, champion experimentation excellence, and shape analytics strategy for one of eBay’s most critical user experiences — Shipping. This role combines hands-on analytics depth , strategic impact , and leadership responsibility . Key Responsibilities 1. Strategic Analytics Leadership • Serve as the analytics thought leader for eBay’s shipping product, setting the vision for data-driven decision-making to optimize eBay’s shipping experience. • Partner with Product, Engineering, and Business stakeholders to define success metrics , establish analytical frameworks, and guide prioritization. • Own the end-to-end analytics roadmap for Shipping - from opportunity sizing and hypothesis generation to measurement, experimentation, and impact evaluation. 2. Technical Ownership • Build and scale AI-enabled analytics systems (e.g., automated insight generation, agentic workflows, decision-support tools) • Leverage LLMs and modern data tooling to accelerate analysis and insight delivery • Ability to hypothesize and design experiments, data science simulations to solve complex shipping problems at eBay. 3. Cross-Functional Collaboration • Drive alignment across product areas, ensuring consistent measurement standards and shared learnings. • Advocate for data democratization by building scalable and trusted data pipelines, self-serve tools, and metric documentation. 4. Operational & Execution Excellence • Evaluate feature and experiment performance, ensuring decisions are rooted in robust data analysis. • Enable rapid insight generation through automation and scalable experimentation pipelines. • Continuously improve analytical workflows and frameworks for speed and reliability. • Set a high bar for analytical thinking, problem framing, and business impact Required Skills & Experience • 6-9 years of experience in product analytics, data science, or rigorous analytics roles; 2+ years leading analytics teams . • Deep expertise in SQL, Python , and building AI applications • Strong foundation in statistics , data science fundamentals , and data-driven hypothesis testing . • Proven track record of delivering insights that drive measurable business and product impact . • Excellent communication skills — able to translate data into actionable narratives and influence senior executives. • Demonstrated success in highly matrixed, cross-functional environments . Preferred Qualifications • Advanced