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bigquery snowflake r sql python📋 Description
- Lead end-to-end data science initiatives across MMM, Incrementality, and MTA.
- Own and deliver scalable, production-grade data products and models.
- Partner with Engineering, Product and Design to define tech design and roadmaps.
- Hire, mentor, and grow senior data scientists and tech leads.
- Turn customer pain points into concrete DS requirements and solutions.
- Drive rigorous validation and robust data pipelines with Data Engineering.
🎯 Requirements
- 8+ years in data science or ML engineering; 5+ years in leadership.
- Proven ability to hire, mentor, and retain senior technical talent.
- Master’s degree (or equivalent) in statistics, econometrics, ML, or related.
- Strong foundation in causal inference, time series, Bayesian modeling, experimental design.
- Experience designing and deploying ML systems at scale with engineering.
- Proficiency in Python, R, SQL; BigQuery, Snowflake; MLOps and orchestration.
🎁 Benefits
- Base salary range: $250,000 – $300,000 USD.
- Equity package.
- Medical, dental, and vision benefits.
- 401(k) retirement plan.
- Flexible PTO, 12 holidays, 12 weeks parental leave.
- $500 work-from-home stipend.
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