Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn.
Use exploratory data analysis to uncover hidden patterns throughout the customer lifecycle.
Investigate anomalies in the funnel, identifying whether shifts are driven by market trends, product changes, or technical friction.
Drive Run-the-Business (RTB) by analyzing weekly performance across the GTM funnel to understand drivers of acquisition and retention.
Communicate insights clearly to senior leaders, turning complex analysis into simple, decision-ready narratives.
Elevate the team’s technical bar by contributing to shared code libraries, peer-reviewing complex analyses, and partnering with Data Engineering to optimize our data architecture for high-velocity analytics.

5+ years of experience in data science, analytics, experimentation, or applied statistics, ideally in a B2C SaaS, subscription, e-commerce, or digital product environment.
Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.
Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.
Experience using data to solve business problems in partnership with non-technical partners.
Ability to work independently in ambiguous environments, prioritize effectively, and drive projects from problem definition through recommendation.
Experience with visualization tools such as Tableau or Power BI.
MS in a quantitative field (Statistics, Computer Science, Economics, Mathematics, or related) or equivalent experience.

Senior Data Scientist, GTM Data Science

Key skills