Technical proficiency: SQL and Python for data manipulation and predictive modeling; reflexively AI-first, with experience shipping working systems using AI coding tools (Claude Code or similar) and the aptitude to learn new tools quickly; supporting stack: Git, Github, Snowflake, dbt or similar, CI/CD tools, comfortable building code-based, version-controlled reporting and dashboards that replace legacy tools like Tableau or PowerBI. Education & experience: Master's degree in a quantitative discipline (Statistics, Engineering, Mathematics, Computer Science, Data Science) or an MBA with a technical focus; [7+ years] experience in data science, analytics, corporate strategy, business operations, management consulting, or similar roles using analytics and applied data science to solve complex business problems and drive strategic decisions.