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
- 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
- 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.
Skills Required
- 4-7+ years experience in marketing science, econometrics, experimentation, or applied data science
- Experience with Marketing Mix Modeling (MMM)
- Experience with causal inference and incrementality testing
- Experience designing experiments, geo tests, holdouts, lift studies, and quasi-experimental frameworks
- Statistical modeling and forecasting expertise (regression, time-series, Bayesian methods)
- Strong understanding of growth economics, customer behavior, and marketing efficiency
- Advanced proficiency in Python
- Advanced proficiency in SQL
- Experience working with large-scale marketing and transactional datasets
- Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)
- Strong communication skills and ability to translate analyses into business recommendations
- Ability to operate effectively in fast-moving, high-ambiguity environments with high ownership
What We Do
Comfrt is a fast-growing direct-to-consumer (DTC) apparel brand focused on blending mental wellness, inclusivity, and elevated comfort into its products, aiming to build a supportive community. They offer stylish, functional clothing designed to inspire relaxation and promote well-being.
