Director, Member Data Science

Role Description

We’re looking for a Director, Member Data Science to own the analytics behind the entire path a member takes with Foodsmart, from first contact, through activation, to long-term retention. You’ll partner closely with Marketing, Product, and Clinical Operations along the way.

This is a high-impact, domain-owning leadership role reporting to the VP of Analytics & Data Science. You’ll be the executive-facing voice on member funnel and retention performance, lead our experimentation and causal inference program, and build the attribution and lifecycle models that shape how Foodsmart invests across the member journey.

You’ll lead a small team while staying hands-on yourself. This is a meaningfully technical role, not a pure people-management seat: we need someone who can build and review the models directly, operate as a trusted thought partner to executive stakeholders, and coach the team toward increasingly independent ownership.

You will:

• Own the analytical strategy for the end-to-end marketing funnel across both activation and retention.
• Own the product analytics domain across both activation and retention.
• Serve as the executive-facing owner of the member funnel and retention performance narrative.
• Design and lead Foodsmart’s experimentation program across marketing, product, and retention.
• Own and evolve our attribution framework.
• Partner with Clinical Operations leadership.
• Own and evolve the dbt data models across marketing, product, and retention.
• Engineer context into our semantic layer and BI environment.
• Lead and develop a small team.

Qualifications

• An operator who thrives in flat, fast-moving teams.
• A domain-owning leader who is comfortable being the single point of accountability.
• A rigorous experimentalist who treats causal inference as a core craft.
• A strategic partner who can translate a high-level business problem into a concrete analytical roadmap.
• A full-stack analytics practitioner, strong across analytics engineering, business intelligence, and data science.
• Deeply fluent with AI-native tooling.
• Genuinely energized by scaling a small team’s output through AI.
• A capable, motivated people leader who wants to stay predominantly hands-on.

Requirements

• Bachelor’s degree, ideally in a quantitative or technical field; Master’s degree is a plus.
• 12+ years of experience in data science, analytics, or experimentation.
• Experience partnering directly with senior and executive stakeholders.
• Deep, hands-on expertise in experimentation and causal inference.
• Strong background in attribution modeling.
• Experience owning lifecycle analytics.
• Hands-on experience with product analytics instrumentation.
• Expert-level proficiency in SQL and strong proficiency in Python.
• Deep, production-level experience with dbt.
• Experience with context engineering for BI and AI self-service.
• Proven fluency with AI-native developer and analyst tooling.
• Excellent communication skills.

Benefits

• Remote-First Company
• Unlimited PTO
• Flexible & remote location
• Healthcare Coverage (Medical, Dental, Vision)
• 401k & bonus
• Registered Dietitian Sessions