Senior Data Scientist - Analytics & Experimentation

About the opportunity

Drive advanced statistical experimentation and customer behavioral models directly on Snowflake’s Data Cloud infrastructure.

What you will do

• check_circle Architect and deploy end-to-end data science pipelines processing multi-terabyte query and usage datasets.
• check_circle Develop Bayesian experimentation algorithms and causal inference models to measure product feature impact.
• check_circle Partner with product managers and database engineers to embed predictive intelligence into core data warehousing products.
• check_circle Mentor junior analysts and define rigorous data science coding, validation, and documentation standards.

What we are looking for

• arrow_circle_right Master’s or PhD in Statistics, Computer Science, Data Science, or related quantitative field.
• arrow_circle_right 5+ years experience building production data science models using Python, SQL, and modern data platforms.
• arrow_circle_right Demonstrated mastery of causal inference, A/B testing methodologies, and multivariate regression.
• arrow_circle_right Hands-on proficiency with distributed compute engines (Spark, Snowpark, or Trino).

Skills & Tech Stack