Foodsmart
Foodsmart is seeking a Staff Data Scientist to own the analytical strategy across the Member growth engine, spanning marketing analytics and product analytics. The role requires expertise in experimentation and causal inference, attribution modeling, lifecycle analytics, and product analytics instrumentation. The ideal candidate has a strong background in data science, analytics, or experimentation, with 8+ years of experience and a proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes.
Requirements
- 8+ years of experience in data science, analytics, or experimentation
- Proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes
- Deep, hands-on expertise in experimentation and causal inference
- Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling)
- Experience owning lifecycle analytics, ideally including hands-on work with Customer.io, Braze, Iterable, or a similar platform
- Hands-on experience with product analytics instrumentation — event tracking, funnel analysis, and experimentation platforms (Statsig, Amplitude, Mixpanel, or equivalent)
- Expert-level proficiency in SQL and strong 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 with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent)
- 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
Benefits
- Remote-First Company
- Unlimited PTO
- Flexible & remote location
- Healthcare Coverage (Medical, Dental, Vision)
- 401k & bonus
- Registered Dietitian Sessions
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
Working in United States
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