Senior Data Scientist

• Separate durable preference from noise by designing robust feature representations.
• Model temporal dynamics and changing tastes with sequential and recency-aware systems.
• Solve the cold-start problem using cohort signals, clustering, and content embeddings.
• Bridge ML and constrained optimization by integrating model scores with operations-research engines.
• Advance the modeling with modern, high-scale personalization architectures.
• Drive rigorous experimentation through robust offline evaluation metrics and online A/B tests.

• 5+ years of hands-on experience in data science, applied machine learning, or a related quantitative role.
• Experience with ML system best practices, including moving systematically from problem definition to CI/CD for ML.
• Deep expertise in personalization, search ranking, or recommender systems, with multi-stage architectures experience.
• Strong grounding in statistics, causal inference, and experimentation.
• Production-level engineering skills in Python and SQL with experience scaling models using big data frameworks.
• Commercial mindset to translate business constraints into scalable ML architectures.
• Clear communication and a collaborative, remote-friendly working style, including mentoring others.

Pay range: $168K - $210K

• Remote-first work arrangement
• Equity
• Unlimited vacation policy
• Universal paid parental leave
• Monthly Hungryroot credit for groceries
• Comprehensive health, vision, dental, and life insurance
• 401k with Company Match
• Work from home stipend