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Tier-1 brand, metro location, mid-level ML role, and popular data science title increase applicant competition.
Role requires specialized ML/LLM, e-commerce analytics, and data-warehouse expertise, so external transfers are limited.
Explicit 3–6 years plus mandatory SQL, Python, ML deployment, and LLM skills create strict shortlisting filters.
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Lead design, development, and scaling of eBay's internal AI analytics platform including NL-to-SQL pipelines and auto-refreshing dashboards.
Develop, implement, and deploy predictive models and ML systems to improve targeting, measurement, and product discovery in Focus Category domains.
Collaborate cross-functionally to deliver actionable insights through experiments, custom analytics, and interactive data visualizations to influence strategic decisions.
3–6 years of relevant professional experience in data science or analytics.
Proficient in SQL (SparkSQL/Hive preferred) and Python for data pipelines, ML development, and AI backend engineering.
BTech/MTech/MBA/MSc in Statistics, Econometrics, Mathematics, Physics, Computer Science, or related field; advanced degree preferred.
Working knowledge of JavaScript for interactive dashboards and data visualization tools such as Tableau, ECharts, or Plotly required.
Experienced in end-to-end ML model lifecycle, including prototype to production deployment on cloud platforms in e-commerce or product personalization contexts.
Strong quantitative and statistical skills with ability to translate complex data insights into business impact for senior leadership.
Familiar with modern AI/ML techniques, especially LLM integration (prompt engineering, caching, deployment), NL-to-SQL systems, and AI-powered decision support platforms.