Data Scientist (Core ML & Statistics)

Hiring a Data Scientist with strong foundations in statistics, causal inference, and experimental design, your work will be centered on rigorous analysis: designing robust experiments, validating assumptions, and extracting clear insights from complex data. This is not a “dashboards and KPIs” role — it’s about applying statistical thinking and careful modeling to answer hard questions and guide product direction. Design, run, and analyze A/B tests and other experimental frameworks, build, tune, and interpret classical ML models with a focus on explainability and robustness, use rigorous exploratory analysis to uncover hidden patterns or validate product hypotheses, and collaborate with product and engineering to ensure experiments and analyses translate into well-grounded decisions.