Data Scientist, Growth & Measurement

Comfrt•,

2d•Remote

About The Position

Comfrt is seeking a Data Scientist, Growth & Measurement to build the analytical foundation for capital allocation, growth quality measurement, and long-term enterprise value. This role is at the intersection of Growth, Finance, and Data, focusing on measurement systems, experimentation frameworks, and modeling to answer key business questions regarding investment allocation, channel saturation, customer lifetime value, EBITDA improvement, and brand equity. This is a strategic position for an individual with strong technical skills, business acumen, and an operator mindset. The role involves owning measurement frameworks, leading Marketing Mix Modeling (MMM) initiatives, designing and evaluating tests, and quantifying incremental impact across various marketing efforts. It also includes developing models for customer economics, analyzing customer cohorts, partnering with Growth and Finance on forecasting and budget allocation, and building frameworks to measure the relationship between acquisition, retention, and enterprise value. Furthermore, the role requires building scalable analytical systems and production-grade models using Python and SQL, collaborating with data engineering and analytics teams to enhance data quality and infrastructure, standardizing business metrics, and operationalizing models into reporting systems. The Data Scientist will also translate complex analyses into actionable recommendations, influence executive decision-making, and foster a data-informed culture across the company.

Requirements

4–7+ years of experience in marketing science, econometrics, experimentation, or applied data science
Deep experience with Marketing Mix Modeling (MMM)
Deep experience with Causal inference and incrementality testing
Deep experience with Statistical modeling and experimentation design
Deep experience with Regression, time-series, Bayesian, or forecasting methodologies
Strong understanding of growth economics, customer behavior, and marketing efficiency
Advanced proficiency in Python and SQL
Experience working with large-scale marketing and transactional datasets
Familiarity with modern data warehouses such as Snowflake, BigQuery, or Redshift
Strong communication skills with the ability to simplify complex analyses into business decisions
Ability to operate effectively in fast-moving, high-ambiguity environments
Strong operator mindset with high ownership and accountability

Responsibilities

Own and evolve Comfrt’s measurement framework alongside partners across MMM & MTA (Northbeam), incrementality (Workmagic), and experimentation
Lead Marketing Mix Modeling (MMM) initiatives in partnership with measurement partners and internal stakeholders
Design and evaluate geo tests, holdouts, lift studies, and quasi-experimental frameworks
Quantify true incremental impact across marketing channels, campaigns, creators, and growth initiatives
Identify saturation points, diminishing returns, and marginal efficiency curves across paid and organic channels
Continuously improve model accuracy, interpretability, and decision-making reliability
Develop models and analytical frameworks that improve CAC efficiency, LTV forecasting, contribution margin visibility, and retention economics
Analyze customer cohorts to identify drivers of high-value and durable customer behavior
Partner with Growth and Finance teams on forecasting, budget allocation, and investment planning
Help distinguish short-term performance gains from long-term brand and customer value creation
Build frameworks that measure the relationship between acquisition strategy, retention quality, and enterprise value creation
Build scalable analytical systems and production-grade models using Python and SQL
Partner with Data Engineering & Data Analytics & Insights to improve data quality, metric governance, and experimentation infrastructure
Standardize and maintain trusted business metrics including CAC, LTV, MER, contribution margin, retention, and incremental ROI
Collaborate with Engineering and BI teams to operationalize models into dashboards, workflows, and reporting systems
Ensure measurement systems remain scalable, reliable, and actionable as the business grows
Translate complex analyses and modeling outputs into clear, actionable business recommendations
Influence executive decision-making around growth investments, profitability, and long-term business quality
Partner cross-functionally across Growth, Finance, Product, Data Engineering and Technology teams.
Help establish a culture of rigorous, data-informed decision-making across Comfrt