Senior Director, Marketing Analytics & Data Science

Nutrafol

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Provide senior support across MMM, MTA, incrementality testing, website analytics, and CM360 reporting
  • Lead the technical implementation of MTA 2.0
  • Pressure-test assumptions and guide reconciliation across measurement approaches
  • Apply ML, statistical modeling, and AI to improve measurement quality and scalability
  • Mentor team members on measurement craft and data science methods
  • Translate technical measurement outputs for marketing, finance, and executive audiences

Requirements

  • 10+ years of experience in marketing analytics and measurement
  • Deep expertise in MMM, multi-touch attribution, and incrementality testing
  • Hands-on background building or leading MMM and MTA models
  • Strong foundation in regression, Bayesian methods, time-series, and ML
  • Applied AI experience in marketing analytics (LLM-based workflows or modeled conversions)
  • Proficiency in SQL and Python or R
  • Experience with GA4, CM360, and BI tools
  • eCommerce background required

Preferred Qualifications

  • Experience applying generative AI or LLMs to analytics workflows
  • Knowledge of privacy-resilient measurement (server-side tracking, data clean rooms)
  • Familiarity with Snowflake, BigQuery, dbt, Looker, Tableau, or Power BI

Benefits

  • Fully remote work experience
  • Comprehensive medical, dental, and vision package
  • 401K with employer match
  • Quarterly Bonus Program
  • Flexible PTO
  • Monthly wellness, internet, and cell phone stipends
  • Annual learning & development stipend
  • Free Nutrafol subscription

About the Company

Nutrafol is a hair wellness company that creates clinically tested products for hair growth using a multi-factorial approach targeting key root causes of hair thinning.

Skills & tools

PythonSQLMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 0110+ years marketing analytics experience
  2. 02Expertise in MMM and MTA
  3. 03Strong data science foundation
  4. 04Proficiency in SQL and Python or R
  5. 05eCommerce background
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