Focus on evaluation, analytics, and measurement for AI/ML features.
Design, implement, and maintain offline and online evaluation frameworks.
Define, validate, and evolve KPIs, metrics, and audit methodologies across teams.
Perform deep error analysis, bias analysis, and segmentation to identify failure modes.
Own golden datasets, validation protocols, and benchmarking standards.
Lead a team of junior data scientists on rigor, experiments, and storytelling.

🎯 Requirements

Tech, M.Tech, or PhD in CS, EE, Statistics, Math, or related field.
8+ years of experience in data science, analytics, or related domain.
Strong foundation in probability, statistics, and estimation theory.
Strong analytical and problem-solving skills with keen attention to detail.
Strong Python programming with OOP, algorithms, and data structures.
Deep SQL expertise; complex queries and indexing; knowledge of a NoSQL store.

🎁 Benefits

Equal opportunity employer.

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