Company
Data & Analytics
StaffDataScientist,GrowthAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Scientist, Growth Analytics. Skills: Experimentation and causal inference, Attribution modeling, Lifecycle analytics, Product analytics instrumentation, SQL, Python, dbt, Context engineering for BI and AI self-service, AI-native tooling. Own the analytical strategy for the end-to-end marketing funnel. Own the product analytics domain”
What You'll Achieve.
Driving measurable impact on growth, acquisition, or lifecycle outcomes
Industry & Context.
Translate a high-level business problem into a concrete analytical roadmap
What They're Looking For.
Must Have
Bachelor's degree in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics), 8+ years of experience in data science, analytics, or experimentation, Deep, hands-on expertise in experimentation and causal inference, Designed and interpreted rigorous tests (A, quasi-experimental, geo-lift), Background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling), Hands-on experience with product analytics instrumentation — event tracking, funnel analysis, and experimentation platforms, Expert-level proficiency in SQL, Proficiency in Python (pandas, scikit-learn, statsmodels, etc.), Deep, production-level experience with dbt — including source and mart-layer modeling, testing, documentation, and semantic layer design, Experience owning a dbt project end-to-end, Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation, Proven fluency with AI-native developer and analyst tooling — Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent — used in production analytical workflows, Excellent communication skills
Nice to Have
Master's degree is a plus, Experience with call center or contact center analytics is a plus, Experience working in marketplace business models and/or adjacent to healthcare, Medicaid, or a similarly regulated domain is a plus but not required
What You'll Do.
Own the analytical strategy for the end-to-end marketing funnel
Own the product analytics domain
Partner with the top-of-the-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
Own the StatSig implementation
Own and evolve our attribution framework
Partner with Growth Marketing leadership as the embedded analytical lead
Own and evolve the dbt data models for the marketing and product domains
Engineer context into our semantic layer and BI environment
Raise the bar for the analytics team on craft areas
How You'll Work.
Team & Collaboration
Partner with the top-of-the-funnel product team; Partner with Growth Marketing leadership; Influence senior leaders across marketing, product, clinical, and finance; Make the team around you better
Communication Scope
Explain why marketable lives, funnel conversion, and initial visit completion moved; Explain what levers drove the result; Explain what to double down on; Distill complex models, test results, and funnel diagnostics into clear, actionable recommendations for executive and marketing-leadership audiences
Full Job Description
## 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. This includes our call center function (outbound rep allocation, inbound referral scheduling, ZCC data) and member lifecycle (Customer.io journey performance, reactivation, and initial visit completion optimization). 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, attending product cadences and co-owning the product analytics roadmap. Serve as the executive-facing owner of the marketing and product performance narrative: explaining why marketable lives, funnel conversion, and initial visit completion moved, what levers drove the result, and what to double down on. Design and lead Foodsmart's experimentation program across both marketing and product, including test design, causal inference methods, readout discipline, and the intake process for stakeholder-driven test ideas. Own the StatSig implementation and serve as the internal expert on experiment instrumentation, StatSig configuration, and results interpretation. Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling as Foodsmart's channel portfolio grows. Partner with Growth Marketing leadership as the embedded analytical lead: attending marketing cadences, co-owning the analytics roadmap, and driving insight into action. Own and evolve the dbt data models for the marketing and product domains — from raw source modeling through mart-layer metrics — ensuring data quality, test coverage, documentation, and a semantic layer that makes self-service trustworthy. This is a core craft expectation of this role, not a secondary responsibility. Engineer context into our sem
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