Director, Member Data Science

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $190k - $220k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Foodsmart

WebsiteLinkedInAll Job Openings

51 - 200 employees

🍽️ Food & Beverage

🏥 Healthcare

⚕️ Healthcare Insurance

Food & Beverage • Healthcare • Healthcare Insurance

Foodsmart is a company focused on providing personalized nutrition support and affordable food care through the guidance of registered dietitians. It offers tools such as meal planning, food delivery via partnerships with Instacart, Grubhub, and Walmart, and a food marketplace that helps users save money on groceries. Foodsmart also works with health plans to offer nutrition services to its members, often at no extra cost.

📋 Description

• Own the analytical strategy for the end-to-end marketing funnel across activation and retention, including lead generation, omni-channel engagement, visit completion, re-engagement, reactivation campaigns, call center functions, and member lifecycle performance. • Own product analytics across onboarding, sign-up conversion, in-app engagement, first appointment completion, ongoing booking, and the in-app member experience. • Serve as the executive-facing owner of member funnel and retention performance, explaining performance changes and recommending priorities. • Design and lead experimentation across marketing, product, and retention, including test design, causal inference, readouts, intake, and StatSig implementation. • Own and evolve attribution frameworks, including scheduling episode attribution, multi-touch attribution, and media mix modeling. • Partner with Clinical Operations leadership. • Own and evolve dbt data models across marketing, product, and retention, ensuring data quality, testing, documentation, and a trustworthy semantic layer. • Engineer context into the Omni semantic layer and BI environment to enable stakeholder and AI-agent self-service. • Lead and develop a small team through technical direction, work review, coaching, and AI-enabled leverage.

🎯 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, with measurable impact on growth, acquisition, or lifecycle outcomes. • 4+ years leading teams. • Experience partnering directly with VP-level and above stakeholders and leading or mentoring data scientists or analysts. • Deep hands-on expertise in experimentation and causal inference, including A/B, quasi-experimental, and geo-lift methods. • Strong background in attribution modeling, including scheduling episode attribution, multi-touch attribution, and media mix modeling. • Experience owning lifecycle analytics, ideally with Customer.io, Braze, Iterable, or similar platforms. • Hands-on product analytics instrumentation experience, including event tracking, funnel analysis, and experimentation platforms such as Statsig, Amplitude, or Mixpanel. • Expert-level SQL proficiency and strong Python proficiency, including pandas, scikit-learn, and statsmodels. • Deep production-level dbt experience, including source and mart-layer modeling, testing, documentation, and semantic layer design; owned a dbt project end-to-end. • Experience with context engineering for BI and AI self-service, including semantic layer definitions, metric descriptions, and data model documentation. • Proven production fluency with Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent tools. • Excellent communication skills for translating complex models, test results, and funnel diagnostics into actionable recommendations. • Experience with call center analytics, marketplace business models, healthcare, Medicaid, or similarly regulated domains is a plus but not required.

🏖️ Benefits

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