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About us:Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases. At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:👥 Customer First - You start with the member and work backwards.🚀 Make It Happen - You act with urgency, use data, and hold high standards.🤝 One Team - You collaborate with respect and commit as a group.Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.About the role:We are seeking a Staff Data Scientist to own the analytical strategy across Foodsmart's Member growth engine. This role spans two tightly coupled domains: marketing analytics and product analytics. On the marketing side, you will own the end-to-end acquisition funnel — from marketable lives through initial visit completion — across both our outbound (call center) and inbound (scheduling referral) channels. On the product side, you will own the member-facing funnel: onboarding flow, sign-up conversion, and the in-app experience through a member's completed first appointment.This is a high-impact, domain-owning role reporting to the VP of Analytics & Data Science. You will own the executive narrative on marketing and product funnel performance, lead our experimentation and causal inference program across both domains, and build the attribution, lifecycle, and product analytics models that shape how Foodsmart invests in acquisition and member engagement.You will also be a core contributor to building out Foodsmart's event tracking infrastructure and product analytics foundation — including our Statsig implementation — establishing the measurement architecture that makes rigorous product experimentation possible.This is a full-stack data science role. We are not looking for a pure statistician or a pure analytics engineer — we need someone who operates across the entire analytical stack: from dbt source models and semantic layer design, to BI dashboards and self-service tooling, to predictive modeling, causal inference, and optimization work.We are a small, flat, fast-moving team that leans hard into AI-native tooling. We use Hex and its AI Agent for analysis, Omni with deep context engineering to power stakeholder self-service through its AI Agent, and we are actively expanding our use of Claude and Claude Code across our workflows.You will:Own the analytical strategy for the end-to-end marketing funnel, from marketable lives to lead generation to omni-channel engagement strategy to visit completion and re-engagement (including call center function and member lifecycle).Own the product analytics domain: onboarding funnel, sign-up conversion, in-app engagement, and the member experience through completed first appointment; partner with the top-of-funnel product team as their embedded analytical lead.Serve as the executive-facing owner of the marketing and product performance narrative.Design and lead Foodsmart's experimentation program across both marketing and product, including test design, causal inference methods, readout discipline, and stakeholder test intake; own the StatSig implementation.Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling.Partner with Growth Marketing leadership as the embedded analytical lead to co-own the analytics roadmap and drive insight into action.Own and evolve the dbt data models for the marketing and product domains, including data quality, test coverage, documentation, and a semantic layer for self-service.Engineer context into our semantic layer and BI environment (Omni) so stakeholders and AI agents can reliably self-serve answers across the marketing and product funnel.Drive the narrative, not just the numbers—translate findings into clear, actionable recommendations.Raise the bar for the analytics team on experimentation design, dbt modeling patterns, and context engineering as a technical leader (without managing anyone).You are:An operator who thrives in flat, fast-moving teams, takes ownership, and needs minimal guidance.A domain-owning IC accountable for a critical business area and its executive-facing voice.A rigorous experimentalist who treats causal inference as core craft.A strategic partner who translates high-level business problems into a concrete analytical roadmap and influences senior leaders.A full-stack analytics practitioner across analytics engineering, BI/dashboarding, and data science; understands durable insight requires owning the data foundation.Deeply fluent with AI-native tooling and a point of view on engineering context/semantic layer for AI-driven self-service.You have:Bachelor's degree (ideally quantitative/technical); Master's degree is a plus.8+ years of experience in data science, analytics, or experimentation with measurable impact in growth/acquisition/lifecycle outcomes.Deep hands-on experimentation and causal inference expertise (A/B, quasi-experimental, geo-lift).Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling) and clear tradeoffs.Experience owning lifecycle analytics, ideally with Customer.io, Braze, Iterable, or similar.Hands-on product analytics instrumentation (event tracking, funnel analysis, experimentation platforms like Statsig, Amplitude, Mixpanel, etc.).Experience with call center/contact center analytics is a plus (leveraging Zoom Contact Center / ZCC).Expert-level SQL and strong proficiency in Python (pandas, scikit-learn, statsmodels, etc.).Deep production-level experience with dbt end-to-end (source and mart-layer modeling, testing, documentation, semantic layer design).Experience with context engineering for BI and AI self-service (semantic layer definitions, metric descriptions, documentation).Proven fluency with AI-native developer/analyst tooling (Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, etc.).Experience with marketplace business models and/or adjacent to healthcare/Medicaid/regulation is a plus.Excellent communication skills to distill complex models/results into actionable recommendations.About our benefits and perks:✅ Remote-First Company✅ Unlimited PTO✅ Flexible & remote location✅ Healthcare Coverage (Medical, Dental, Vision)✅ 401k & bonus✅ Registered Dietitian Sessions
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