Senior Data Scientist (Future Position)

Key details

Full job description

Senior Data Scientist role on Measurement & Outcomes team. Collaborate with Outcomes Tech Lead to build and scale statistical and machine learning models for advertising campaign measurement and optimization. Responsibilities include developing attribution and lift models, adapting models for client use cases, validating data integrity, integrating models with Engineering and MLOps teams, and communicating results to stakeholders. Requirements: Master's or Ph.D. in relevant field, 2-5+ years experience in data science focused on statistical modeling and machine learning, proficiency in Python and SQL, expertise in regression, hypothesis testing, A/B testing, causal inference, Bayesian methods, time-series analysis, experience with ML frameworks, strong analytical and communication skills, proficiency with AI tools Gemini and Claude. Bonus: familiarity with big data technologies (Snowflake, Spark, Databricks) and cloud platforms (AWS, GCP). Compensation: $135,000 – $170,000 base salary plus equity and benefits. Location: Hybrid work across Los Angeles, New York, Boulder, Chicago, Dallas, and St. Petersburg.