Data Scientist, Growth & Measurement

Role Overview

Comfrt is seeking a Data Scientist, Growth & Measurement to build the analytical foundation behind growth allocation, measurement of growth quality, and long-term enterprise value. The role sits at the intersection of Growth, Finance, and Data, owning measurement systems, experimentation frameworks, and modeling capabilities.

What You’ll Own

Measurement & Causal Inference

• Own and evolve Comfrt’s measurement framework with partners across MMM & MTA (Northbeam) and incrementality (Workmagic)
• Lead Marketing Mix Modeling (MMM) initiatives with external measurement partners and internal stakeholders
• Design and evaluate geo tests, holdouts, lift studies, and quasi-experimental frameworks
• Quantify true incremental impact across channels, campaigns, creators, and growth initiatives
• Identify saturation points, diminishing returns, and marginal efficiency across paid and organic
• Improve model accuracy, interpretability, and decision reliability

Growth & Customer Economics

• Build models to improve CAC efficiency, LTV forecasting, contribution margin visibility, and retention economics
• Analyze customer cohorts to find drivers of high-value, durable customer behavior
• Partner with Growth and Finance on forecasting, budget allocation, and investment planning
• Separate short-term gains from long-term brand and customer value creation
• Measure relationships between acquisition, retention quality, and enterprise value

Data & Decision Systems

• Build scalable analytical systems and production-grade models using Python and SQL
• Partner with Data Engineering / Analytics & Insights to improve data quality, metric governance, and experimentation infrastructure
• Standardize trusted business metrics such as CAC, LTV, MER, contribution margin, retention, incremental ROI
• Collaborate with Engineering and BI to operationalize models into dashboards, workflows, reporting

Strategic Influence

• Translate analyses and modeling outputs into actionable recommendations
• Influence executive decisions on growth investments, profitability, and business quality
• Partner cross-functionally across Growth, Finance, Product, Data Engineering, and Technology teams

What You Bring

• 4–7+ years experience in marketing science, econometrics, experimentation, or applied data science
• Strong experience in:
  • Marketing Mix Modeling (MMM)
  • Causal inference and incrementality testing
  • Statistical modeling and experimentation design
  • Regression, time-series, Bayesian, or forecasting methodologies
• Deep understanding of growth economics, customer behavior, and marketing efficiency
• Advanced proficiency in Python and SQL
• Experience with large-scale marketing and transactional datasets
• Familiarity with modern data warehouses: Snowflake, BigQuery, or Redshift
• Strong communication skills

Nice-to-Haves

• Experience using/partnering with MMM/MTA and incrementality tooling (e.g., Northbeam, Workmagic) is referenced.