Sr. Director, Marketing Analytics & Data Science

TL;DR

Sr. Director, Marketing Analytics & Data Science (Marketing): Lead measurement and modeling across MMM, MTA, incrementality testing, website analytics, and growth journey analytics with an accent on technical implementation, methodological rigor, and AI integration. Focus on building advanced models, validating outputs, applying ML and LLMs for scalable measurement, and mentoring the team on data science methods.

Remote

$200,000 - $220,000 USD

Company

Pioneers of hair wellness creating clinically tested products for hair growth targeting root causes, recommended by over 7,500 physicians.

What you will do

• Provide senior support for measurement and modeling across MMM, MTA, incrementality testing, website analytics, CM360 reporting, and growth journey analytics; lead MTA 2.0 implementation.
• Pressure-test assumptions, validate outputs, and reconcile measurement approaches for trusted decision-making, including privacy-resilient methods.
• Apply ML, statistical modeling, AI, and LLM-based workflows to enhance measurement quality, speed, and scalability.
• Mentor team members on measurement, modeling, and data science; build advanced analytics capability.
• Translate technical outputs into clear language for marketing, finance, and executive audiences; support cross-functional credibility.

Requirements

• 10+ years in marketing analytics and measurement, with significant senior experience.
• Deep expertise in MMM, multi-touch attribution, incrementality testing, website and growth/funnel analytics.
• Hands-on building/leading MMM and MTA models; strong data science foundation in regression, Bayesian methods, time-series, and ML for marketing.
• Applied AI experience in marketing analytics including LLM workflows and modeled conversions.
• Proficiency in SQL and Python (or R); familiarity with GA4, CM360, BI tools.
• eCommerce background required; DTC/subscription and multi-channel preferred; strong cross-functional communication.

Nice to have

• Experience with generative AI/LLMs in analytics workflows.
• Knowledge of privacy-resilient measurement (server-side tracking, data clean rooms).
• Familiarity with modern data stack (Snowflake, BigQuery, dbt) and BI platforms (Looker, Tableau, Power BI).

Culture & Benefits

• Fully remote work.
• Comprehensive medical, dental, vision, FSA; 401K with employer match; quarterly bonus.
• Flexible PTO; two daily wellness breaks; free lunches Tuesdays/Thursdays.
• Monthly stipends for wellness, internet, cell phone; annual learning stipend.
• Free Headspace, hirify.global subscription, pet insurance discounts.