About this role

Design and deploy end-to-end automated processes for the quota and incentive lifecycle, ensuring bulletproof data validation
Use advanced prompt engineering and LLM tools to accelerate development, audit code, and eliminate manual workflows
Extract and enrich massive datasets from Snowflake and GitHub, ensuring data integrity across complex logic layers
Translate highly technical outputs into strategic recommendations, presenting key performance metrics directly to executive leadership
Apply predictive modeling and pattern recognition to evaluate sales coverage and optimize customer engagement at scale

10+ years of professional experience manipulating large datasets and building production-grade statistical models
Mastery of SQL (Snowflake/DBeaver) and Web technologies
Deep knowledge of regression, simulation, scenario analysis, clustering, and decision trees
Experience with GitHub workflows and building "self-healing" scripts to prevent recurring data errors
Ability to build impactful narratives in Web UI using AI
A background in Sales Operations, Finance, or GTM strategy within the tech industry is highly preferred
Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.

Senior Data Scientist

Key skills