Design, build, and maintain predictive machine learning models
Partner with GTM teams to design and analyze controlled experiments
Execute proactive, complex analytical deep dives to discover latent user behavior
Support the interpretation of Marketing Mix Modeling results
Define, instrument, and govern a unified Key Performance Indicator (KPI) framework
Translate complex statistical findings and model outputs into compelling business narratives
Work closely with Data Engineering to ensure data quality
Provide technical guidance to peers and stakeholders

4+ years of professional experience in an applied data science, economics, or GTM analytics role
B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline
demonstrated experience in building and validating production-ready models for business applications
practical application of Causal Inference methods, such as Quasi-Experimentation, Matching Methods (PSM), and Difference-in-Differences
proficiency in statistical methodologies for A/B testing
advanced proficiency in Python or R and expert-level SQL
experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus
strong data storytelling skills

Senior Data Scientist – GTM Data

Key skills