Product Intelligence Data Scientist
Core
Build a unified intelligence layer transforming raw usage signals and behavioral data into predictive, prescriptive insights to drive product strategy and business outcomes.
Role type
Senior IC Product Intelligence Data Scientist
Builds
Predictive models, behavioral segmentation frameworks, automated scoring systems, and early-warning detection models for SaaS lifecycle management.
Domain
Industrial software / Enterprise SaaS
Deliverable
production ML models
Required skills
Predictive modelling, causal inference, survival analysis, experimentation design (A/B, diff-in-diff), Python, SQL, data pipeline tools (dbt, Airflow, Dagster), product telemetry analysis, SaaS lifecycle mechanics (ARR, NRR, LTV, PQLs)
Preferred skills
Master's or PhD in quantitative field, Cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse), Product analytics instrumentation (Amplitude, Mixpanel, Pendo), MLOps, propensity/scoring model integration
Technologies
Python, SQL, dbt, Airflow, Dagster, Snowflake, Databricks, BigQuery, Azure Synapse, Amplitude, Mixpanel, Pendo
Responsibilities
Partner with Product to define and validate hypotheses around feature adoption and growth levers; Translate complex product signals into lifecycle intelligence for prioritization; Build predictive models quantifying adoption maturity, churn risk, and expansion propensity; Design behavioral segmentation and cohort frameworks; Develop causal analyses connecting product interactions to revenue outcomes; Create automated scoring systems for GTM and Customer Success; Build early-warning detection models for at-risk accounts.
Seniority
Senior, hands-on IC
