Senior Data Scientist

5+ years in applied data science, customer analytics, or advanced analytics roles

Strong Python and statistical modeling toolkit

Deep experience with:

Experiment design (A/B, multivariate)

Power analysis and statistical testing

Causal inference fundamentals

Develop behavior-based customer segments using product usage and lifecycle signals

Build LTV models (cohort-based and predictive) and identify power users, high-LTV cohorts, at-risk customers, and under-monetized segments

Create segmentation frameworks that become operational across Product and GTM teams

Model

activation drivers and time-to-value

Build