{"id":3035026,"url":"https://alion.io/job/ebay-data-scientist-analytics-l24","title":"Data Scientist (Analytics) - L24","company":{"id":7519,"name":"eBay","domain":"ebay.com","url":"https://alion.io/company/ebay","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-22T05:55:31Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"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.\nOur 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.\nJoin a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.\nWe are seeking a Data Scientist (Analytics) to join the eBay Live Buyer Experience team, supporting eBay’s real-time livestream shopping experience across categories such as Collectibles, Luxury, Sneakers, and Apparel.\nAs eBay Live continues to scale, this role will help shape the buyer experience through product analytics and experimentation. You will partner closely with Product, Engineering, Design, and business teams to understand buyer behavior, evaluate new experiences, and identify opportunities to improve discovery, engagement, conversion, and retention.\nThis is a hands-on individual contributor role for someone who enjoys working with large behavioral datasets, designing rigorous experiments, and translating analysis into actionable product recommendations.\nKey Responsibilities\nOwn product analytics for key areas of the eBay Live buyer journey, including discovery, viewing, engagement, bidding, purchasing, and retention.\nPartner with Product and Engineering teams to define success metrics, KPIs, and guardrails for new features and experiences.\nDesign, analyze, and interpret A/B tests and controlled experiments, ensuring statistical rigor and clear decision criteria.\nApply advanced measurement approaches, including causal inference and quasi-experimental methods, when traditional A/B testing is not feasible.\nConduct deep-dive product analyses using funnels, cohorts, segmentation, behavioral analysis, and other statistical techniques.\nIdentify friction points and growth opportunities across the buyer journey and translate findings into actionable product recommendations.\nBuild scalable dashboards, measurement frameworks, and self-service analytics that enable faster product decision-making.\nPartner with engineering teams to improve instrumentation, event tracking, and data quality.\nCommunicate analytical findings clearly to Product, Engineering, Design, and business stakeholders.\nRequired Qualifications\n4-8 years of experience in data science, product analytics, or related analytics roles.\nStrong proficiency in SQL and Python.\nStrong hands-on experience with product analytics and A/B testing.\nSolid understanding of statistics, experimental design, hypothesis testing, and causal measurement.\nExperience analyzing large-scale behavioral, transactional, or event-level data.\nStrong analytical problem-solving skills and ability to structure ambiguous questions.\nStrong communication skills and ability to translate complex analysis into clear product recommendations.\nExperience working effectively with cross-functional Product and Engineering teams.\nPreferred Qualifications\nExperience with e-commerce, marketplaces, consumer technology, or real-time products.\nExperience with causal inference or advanced experimentation methodologies.\nExposure to machine learning, segmentation, personalization, or recommendation use cases.\nExperience working in an early-stage or rapidly scaling product environment.\nInterest in leveraging AI and automation to improve analytics workflows.\nAdditional Details\neBay 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 . 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.\nWe use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. 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