Senior Data Scientist

Familiarity with regressors, classifiers, and recommender systems Solid understanding of ML techniques and practical applications Experience deploying ML models in production Familiarity with prompt design, tool use, orchestration, RAG, evaluator design, guardrails, and tracing/observability (strong plus) Software Engineering Proficiency in Python Knowledge of distributed ML and computing frameworks (e.g., Spark) is beneficial Ability to transform data into actionable insights Experience with hypothesis testing Proficiency in analytics tools (e.g., pandas/polars) and SQL Applied experience in a business environment, demonstrating result-driven work Strong communication skills Shipped ML/AI products end-to-end in impact-driven, fast-moving environments with extensive stakeholder alignment (sets you apart) Experience on the supply (B2B) side of marketplaces, especially in catalog quality management, sales, and pricing (sets you apart) An advanced degree in a quantitative field or equivalent practical experience

Develop innovative data products Take full ownership of projects from business challenge to production deployment Analyze large datasets Build and maintain data pipelines Establish evaluation, monitoring strategies, and in-production guardrails Monitor and optimize data products post-deployment Contribute to ML infrastructure development and best practices Work closely with cross-functional technology and business teams Support team growth and participate in recruiting