Sr. Director, Marketing Analytics & Data Science

We’re a growing company. Everything we do, we do to help people grow into the best version of themselves. As the pioneers of hair wellness, we create clinically tested products for hair growth and provide support for people at every step of their hair journey.

Our multi-factorial approach targets key root causes of hair thinning using a patented blend of standardized vitamins, minerals and natural ingredients -- and is recommended by over 7,500 physicians and hair professionals for trusted, reliable results. We never settle, and are continuously challenging existing treatments and methodologies to advance the frontier of hair science. As we help our customers grow, we grow too -- by embracing individuality and differences, leading by example, and empowering ourselves and others with our passion for wellness and innovation.

Keep growing. It’s our mantra. Our commitment to helping anybody and everybody committed to realizing their own potential to grow.

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. 

• →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. Bring clarity to complex methodological questions, including privacy-resilient measurement.
• →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.
• →Cross Functional Communication — translate technical measurement outputs into clear language for marketing, finance, and executive audiences. Support the team's credibility in cross-functional forums.

• Own the strategy for MTA revamp, including implementation, validation, and trust — with clear reconciliation against MMM and incrementality
• Ensures measurement rigor is visibly elevated across the portfolio
• Introduce and test AI and modern analytics platforms to improve overall capabilities and measurement effectiveness
• Manage methodological choices, ensuring they’re well-documented, defensible, and trusted by business stakeholders

• 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
• Hands-on background building or leading MMM and MTA models — with depth to implement, not just oversee
• Strong data science foundation: regression, Bayesian methods, time-series, and ML applied to marketing measurement
• Applied AI experience in marketing analytics — LLM-based workflows, modeled conversions, or measurement automation
• Proficiency in SQL and Python (or R); familiarity with GA4, CM360, and BI tools
• Experience mentoring analytics talent across measurement and data science
• eCommerce background required; DTC/subscription, and multi-channel experience strongly preferred
• Strong communicator; ability to influence cross-functional teams and Leaders across the organization
• Comfortable as a senior partner supporting a team that owns strategic direction

• Experience applying generative AI or LLMs to analytics workflows (insight generation, automation, self-serve)
• Hands-on knowledge of privacy-resilient measurement approaches (server-side tracking, modeled conversions, data clean rooms)
• Familiarity with modern data stack tools (Snowflake, BigQuery, dbt) and BI platforms (Looker, Tableau, Power BI)