[Remote] Data Scientist, Growth & Measurement

Note: The job is a remote job and is open to candidates in USA. 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. They are seeking a Data Scientist, Growth & Measurement to build the analytical foundation that guides capital allocation, measures growth quality, and drives long-term enterprise value. This role involves owning critical measurement systems, experimentation frameworks, and modeling capabilities to inform strategic decisions.

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

Skills

• 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

Benefits

• Generous paid time off
• Company-covered health insurance
• 5% 401k match
• Discounts on all Comfrt products
• Flexibility and collaborative support of a fully remote environment

Company Overview