Data Scientist, Growth Analytics

Job Summary

Working remotely in a full-time capacity, the Data Scientist, Growth Analytics will own critical measurement systems and experimentation frameworks, guiding capital allocation and measuring growth quality to drive long-term enterprise value.

Key responsibilities:

• Own and evolve the measurement framework, leading Marketing Mix Modeling (MMM) initiatives and designing geo tests and lift studies
• Develop models to improve customer acquisition cost (CAC) efficiency and lifetime value (LTV) forecasting while analyzing customer cohorts
• Build scalable analytical systems using Python and SQL, ensuring measurement systems are reliable and actionable as the business grows

Required qualifications:

• 4-7+ years of experience in marketing science, econometrics, experimentation, or applied data science
• Deep experience with Marketing Mix Modeling (MMM) and causal inference testing
• Advanced proficiency in Python and SQL, with experience in large-scale marketing datasets
• Strong understanding of growth economics and customer behavior
• Familiarity with modern data warehouses such as Snowflake, BigQuery, or Redshift