nutrafol

Sr. Director, Marketing Analytics & Data Science (Media Analytics focus)

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At a Glance

Location
Remote
Work Regime
remote
Experience
10+ years
Posted
2026-05-08T15:55:37-04:00

Key Requirements

Required Skills

Data SciencePower BIPythonSQLSnowflakeTableau

Domain Knowledge

  • Automation
  • E-commerce
  • Education
  • Insurance
  • Marketing
  • Medical

Requirements

Nutrafol is seeking a Senior Director, Marketing Analytics & Data Science to bring senior measurement leadership and advanced modeling capability to our marketing analytics function.

This role partners with an established marketing analytics team that is actively driving the strategy, roadmap, and cross-functional unification of measurement across brand, growth, and retention.

We're looking for a senior measurement leader with hands-on data science depth to support and elevate an established marketing analytics team.

The team owns strategy, roadmap, and cross-functional measurement — you bring technical rigor, modeling depth, and outside experience to accelerate their work.

10+ years of experience in marketing analytics and measurement roles, with significant time in senior positions

Deep expertise across MMM, multi-touch attribution, incrementality testing, website analytics, and growth/funnel analytics

Responsibilities

Measurement & modeling — provide senior support across the full portfolio: MMM, MTA, incrementality testing, website analytics, CM360 reporting, and growth journey analytics.

Lead the technical implementation of MTA 2.0, partnering with the team that owns strategy and roadmap.

Methodology & rigor — pressure-test assumptions, validate outputs, and guide reconciliation across measurement approaches so stakeholders know which signal to trust for which decision.

AI & advanced analytics — apply ML, statistical modeling, and AI (including LLM-based workflows and modeled conversions) to improve measurement quality, speed, and scalability.

Mentorship — develop team members on measurement craft, modeling depth, and data science methods.

Build advanced analytics capability within the function over time.