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.
Job Description – Manager, Data Science – Analytics
Job Location: Bangalore, India
The Incentive and loyalty team works closely with product and business partners with the objective to drive success of eBay’s key marketing investments through data-driven recommendations, we are a dynamic and driven team working on high impact projects along with partners from global teams.
We are seeking a high-energy, driven and collaborative team member with extensive problem-solving skills, sound business judgement and deep analytical capabilities. The ideal candidate will apply advanced analytics and data science techniques to drive innovation, build data products, and deliver actionable recommendations through meticulous analysis.
Responsibilities:
-
Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, wide variety of quantitative and qualitative data, and provide structured and data-supported practical solutions to optimize eBay’s domestic and cross-border shipping operations.
-
Drive product decisions through A/B testing techniques to improve shipping time estimates, routing, cost reduction while optimizing conversion.
-
Serve as a trusted partner and advisor to business units and senior leaders, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.
-
Collaborate with cross-functional teams, including business unit, product management, engineering, and finance, to identify, prioritize, and solve shipping-related business challenges.
-
Drive innovation and continuous improvement within the Incentive and Loyalty analytics team, develop data products for faster and accurate decision-making, leverage advanced analytics tools and data science models.
Additional requirements: This role operates within a hybrid work-from-home model, requires flexibility for late evening audio or video conference meetings with US or Europe-based partners, or respond to emails and complete tasks in late evenings.
What we expect from you:
-
Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field. Master’s in a related field or MBA is preferred.
-
8+ years of work experience in data science, analytics, or a related field.
-
Strong analytical skills with expertise in SQL, Excel and data visualization tools (e.g. Tableau), Proficiency in a statistical programming language like R or Python is preferred
-
Background in product analytics with hands on experience with A/B experiments (design and measurement techniques) is preferred.
-
Proven track record of using data science / analytics to drive significant business impact, build predictive models, tackle elasticity and optimization problems.
-
Excellent communication skills, with the ability to translate technical concepts into actionable insights for non-technical partners.
-
Experience working in a fast-paced environment with cross-functional teams
Basic checks:
-
Educational background – Bachelor’s in engineering, CS, Statistics, quant field
-
7-10 years of experience, majorly spent in analytics and data science role
-
Some keywords to look for – “data science”, “analytics”, “A/B testing”, “product analytics”
-
Tools: SQL, Python and at least 1 reporting tool like Tableau/ QlikView/ Power BI
-
Some experience in similar companies – ecommerce/ retail would be good
-
Good to have but not necessarily – MBA, good colleges
-
Mentioned business impact from their work
Candidate check:
-
Hybrid role, working with global partners which means late night calls
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 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.
This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
Top Skills
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.
