Snr Data Science Analyst FC

Posted 8 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
In-Office
Senior level
eCommerce • Retail
The Role
The role involves applying advanced analytics and data science techniques to derive insights, drive decisions, and enhance eBay's category initiatives through collaboration with teams across the company.
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.

About eBay

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 worldwide.

We’re committed to pushing boundaries and shaping 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.

About the Role

The Focus Category team partners closely with product and business stakeholders to enable data-driven decision-making and drive the success of eBay’s category initiatives.

We are a dynamic, results-oriented team working on high-impact projects in collaboration with global partners. We are seeking a high-energy, analytical, and collaborative team member with strong problem-solving abilities, sound business judgment, and deep analytical expertise.

The ideal candidate will apply advanced analytics and data science techniques to:

  • Drive innovation,
  • Build scalable data products, and
  • Deliver actionable recommendations through rigorous analysis.

Key Responsibilities

  • Apply strong analytical and statistical skills to solve complex and unstructured business problems with structured, data-supported solutions.
  • Drive product decisions using A/B testing techniques and experimental design.
  • Lead innovation and continuous improvement within the Focus Category Analytics team.
  • Develop data products that enable faster and more accurate decision-making.
  • Leverage advanced analytics tools and data science models to solve category-level challenges.
  • Collaborate with cross-functional teams — including Business, Product Management, Engineering, and Finance — to identify, prioritize, and resolve key business challenges.
  • Serve as a trusted partner and advisor to senior leaders, translating complex analytical insights into actionable business recommendations.
  • Create tools, dashboards, and reports to monitor and ensure program success.

Additional Requirements

  • This role operates in a hybrid work model.
  • Flexibility to attend late evening meetings (audio/video conferences) with U.S. or Europe-based teams, and to occasionally respond to emails or complete tasks during late evenings.

What We Expect From You

  • Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field.
    • Master’s degree or MBA preferred.
  • 6+ years of experience in data science, analytics, or a related field.
  • Strong analytical skills with proficiency in:
    • SQL
    • Excel
    • Data visualization tools (e.g., Tableau, Power BI, Looker)
  • Proficiency in statistical programming languages such as Python or R.
  • Background in product analytics, with hands-on experience in A/B test design and measurement preferred.
  • Proven track record of using analytics and data science to:
    • Drive significant business impact,
    • Build predictive models, and
    • Solve optimization or elasticity problems.
  • Excellent communication skills with the ability to translate technical findings into business insights for non-technical audiences.
  • Experience working in a fast-paced, cross-functional environment.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

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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Top Skills

Excel
Looker
Power BI
Python
R
SQL
Tableau
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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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