Who You Are
AI-Native: You’re already using AI tools daily to move faster, from writing queries and building models to exploring data and communicating findings.
Analytical Builder: 2+ years of hands-on experience in data science or analytics, with strong SQL, Python, and statistical modeling skills. You don’t just analyze. You build the tooling and frameworks that make analysis repeatable and reliable.
Product Connected: You care about why you’re analyzing something, not just how. You can translate vague product questions into tractable data problems and communicate findings clearly to non-technical stakeholders.
Experimentally Rigorous: You understand the principles of A/B testing, know where experiments go wrong, and hold the line on statistical rigor even under deadline pressure.
Strong SQL and Python skills, experience with A/B experimentation frameworks, and familiarity with at least one major cloud data stack (AWS, GCP, Databricks, Snowflake, or equivalent). Bonus points for experience in consumer products, media, gaming, or e-commerce, and prior work alongside product or engineering teams in a fast-moving environment.