Data Scientist, Growth & Measurement
About Us:
Comfrt is one of the fastest-growing direct-to-consumer lifestyle and apparel brands, dedicated to blending mental wellness, inclusivity, and elevated comfort into every piece we create. Our mission goes beyond clothing — we strive to build a community where everyone feels supported and seen
About the Role:
We are looking for a Data Scientist, Growth & Measurement to help build the analytical foundation that guides how Comfrt allocates capital, measures growth quality, and drives long-term enterprise value.
This role sits at the intersection of Growth, Finance, Data, identifying the white space . You will own critical measurement systems, experimentation frameworks, and modeling capabilities that help answer questions such as:
Where should the next dollar of spend go?
What channels and investments are saturating?
What creates the highest LTV customers?
What improves incremental EBITDA?
What drives durable brand equity and long-term customer value?
This is a strategic role for someone who combines strong technical depth with business intuition and an operator mindset.
What You’ll Own:
Measurement & Causal Inference
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
Growth & Customer EconomicsDevelop 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
Data & Decision SystemsBuild 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
Strategic InfluenceTranslate 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
What You Bring:4–7+ years of experience in marketing science, econometrics, experimentation, or applied data science
Deep experience with:Marketing Mix Modeling (MMM)
Causal inference and incrementality testing
Statistical modeling and experimentation design
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
Why Join Comfrt?
Be part of a purpose-driven company that’s shaping the future of comfort and mental wellness.
Work in a supportive, creative environment where your ideas and growth are valued.
Enjoy Comfrt benefits such as generous paid time off, company-covered health insurance, 5% 401k match, and discounts on all Comfrt products!
Join a passionate team making an impact on exciting projects, all while enjoying the flexibility and collaborative support of a fully remote environment.
Comfrt is an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Comfrt is one of the fastest-growing direct-to-consumer lifestyle and apparel brands, dedicated to blending mental wellness, inclusivity, and elevated comfort into every piece we create. Our mission goes beyond clothing — we strive to build a community where everyone feels supported and seen
About the Role:
We are looking for a Data Scientist, Growth & Measurement to help build the analytical foundation that guides how Comfrt allocates capital, measures growth quality, and drives long-term enterprise value.
This role sits at the intersection of Growth, Finance, Data, identifying the white space . You will own critical measurement systems, experimentation frameworks, and modeling capabilities that help answer questions such as:
Where should the next dollar of spend go?
What channels and investments are saturating?
What creates the highest LTV customers?
What improves incremental EBITDA?
What drives durable brand equity and long-term customer value?
This is a strategic role for someone who combines strong technical depth with business intuition and an operator mindset.
What You’ll Own:
Measurement & Causal Inference
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
Growth & Customer EconomicsDevelop 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
Data & Decision SystemsBuild 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
Strategic InfluenceTranslate 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
What You Bring:4–7+ years of experience in marketing science, econometrics, experimentation, or applied data science
Deep experience with:Marketing Mix Modeling (MMM)
Causal inference and incrementality testing
Statistical modeling and experimentation design
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
Why Join Comfrt?
Be part of a purpose-driven company that’s shaping the future of comfort and mental wellness.
Work in a supportive, creative environment where your ideas and growth are valued.
Enjoy Comfrt benefits such as generous paid time off, company-covered health insurance, 5% 401k match, and discounts on all Comfrt products!
Join a passionate team making an impact on exciting projects, all while enjoying the flexibility and collaborative support of a fully remote environment.
Comfrt is an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.