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Tier-1 employer plus metro location and desirable ML role produce moderate competition.
Requires deep product ML, experimentation, and large-scale data experience; low cross-industry transferability.
10+ years and mandatory SQL/R/Unix and senior expectations enforce strict shortlisting.
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Analyze LinkedIn's global member data to generate insights that inform product strategy and guide decisions.
Formulate success metrics for new products, design experiments, and develop dashboards/reports to track product performance.
Build models and data-driven solutions that materially improve key performance metrics related to membership growth and engagement.
Bachelor's or Master's in a quantitative field (e.g., Statistics, Applied Math, Operations Research, CS, Engineering, Economics).
10+ years experience working with large datasets using SQL (Teradata, Oracle, or MySQL) and statistical packages like R.
10+ years experience in Unix/Linux environments for automation with shell scripting.
Work location: Hybrid in Bangalore, India.
Experienced with consumer internet products and data-driven product decision support.
Strong programming skills ideally in Python, Java; familiarity with Pig is a plus.
Comfortable translating business goals into actionable analyses and communicating with both technical and non-technical stakeholders.