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Tier-1 brand, metro location, mid-level ML role, and broad skillset requirements increase applicant density.
Core ML and deployment skills transfer across industries, though e-commerce product experience increases relevance.
Explicit 3–6 year requirement plus mandatory ML deployment, SQL, Python, and LLM experience raises filter strictness.
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Lead design, build, and scaling of eBay's internal AI analytics platform including NL-to-SQL pipelines and auto-refreshing dashboards.
Develop and deploy predictive models and advanced analytics to improve targeting and measurement in Focus Category domains.
Collaborate cross-functionally to deliver data-driven insights, conduct experiments, and enable AI-powered decision-making tools at scale.
3-6 years of relevant professional experience in data science or related fields.
Proficiency in SQL (SparkSQL/Hive preferred), Python, and working knowledge of JavaScript.
Advanced degree (BTech/MTech/MBA/MSc) in Statistics, Applied Econometrics, Mathematics, Physics, Computer Science or related fields.
Proven experience building and deploying machine learning models into production environments.
Experienced in applying modern AI/ML, especially large language models (LLMs) and AI deployment in e-commerce or product discovery contexts.
Skilled in bridging data engineering and AI with strong business judgment to influence strategic decisions.
Able to build interactive dashboards and translate complex analytical insights into actionable business recommendations for senior leadership.