Data Scientist, Growth & Measurement

Posted 8 Days Ago
Hiring Remotely in United States
Remote
Mid level
eCommerce • Fashion • Retail
The Role
The Data Scientist will develop and oversee measurement systems, analyze customer behavior, enhance marketing strategies and translate data insights into actionable business recommendations.
Summary Generated by Built In

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 Economics
  • 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
Data & Decision Systems
  • 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
Strategic Influence
  • 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
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.

Skills Required

  • 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
  • Advanced proficiency in Python and SQL
Am I A Good Fit?
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The Company
51 Employees
Year Founded: 2022

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.

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