Senior Data Scientist
Core
Drive decision-making for Product Led Growth by illuminating the user journey, identifying friction points, and evaluating interventions to improve adoption and expansion.
Role type
Senior IC data scientist (product growth & experimentation)
Builds
Analytical frameworks, dashboards, metrics, and reusable data products for the PLG journey
Domain
SaaS / Developer Platform / Product Growth
Deliverable
dashboards & analysis
Required skills
SQL, Python, statistical methods, experimental design, causal reasoning, cohort analysis, funnel analysis, predictive modeling, machine learning, data platform proficiency (Athena, Presto/Trino, BigQuery, Snowflake), cloud technologies (AWS S3)
Preferred skills
Experience with small samples/noisy signals, prototyping in notebooks, modern BI platforms, knowledge of developer platforms and cloud infrastructure
Responsibilities
Act as an embedded data partner to Product, Design, and Engineering; Build analytical frameworks across the full PLG journey; Use funnel, cohort, journey, and sequence analysis to identify friction; Identify behaviors predicting conversion, expansion, and churn; Design and evaluate experiments using matched comparisons and causal methods; Build reusable datasets, metrics, dashboards, and analytical tools; Partner with Engineering to improve event instrumentation and data quality; Communicate findings through visualizations and narratives.
Seniority
Senior, hands-on IC
