Senior Data Scientist, Growth

Berry Street•New York, NY

About The Position

Berry Street is hiring its first Growth Data Scientist to own how the company measures growth and decides where to invest. The role focuses on growing patient volume while improving lifetime value (LTV) and customer acquisition cost (CAC), and on building measurement approaches and models that inform ongoing decisions rather than one-off analyses. The position reports to the Head of Data and partners closely with the Head of Growth, as well as teams across Growth, Product, and Engineering. The role combines analytical leadership with hands-on building. The Senior Data Scientist will establish standards for measuring marketing impact, guide investment across channels, turn analyses into production models and automated decision systems, and identify growth opportunities beyond marketing. Berry Street is a Series B healthcare company using a platform that connects patients with clinicians and AI tools, working with health plans, health systems, and care management companies across all 50 states.

Requirements

5–8+ years of experience in data science or marketing science at a company with meaningful paid acquisition.
A track record of owning analytical work end-to-end and changing how money is spent.
Strong foundation in statistics, including experimental design, causal inference, and predictive modeling.
Deep understanding of marketing measurement, including the capabilities and limitations of multi-touch models, when marketing mix modeling is worthwhile, and how to validate both against incrementality findings.
Fluency in SQL and Python.
Ability to build datasets from messy advertising platform, product, and warehouse data when needed measures do not already exist.
Ability to select appropriate methods, judge when evidence is sufficient to act, and build statistically sound, reproducible solutions that withstand messy data.
Ability to communicate persuasive recommendations to technical and non-technical audiences and secure adoption.
Proactive approach to identifying problems and opportunities.
Comfort working in ambiguity and shifting priorities while making progress and shaping the agenda.
Systems-thinking approach focused on building reliable, resilient solutions that remain useful as requirements change.
Comfort incorporating agentic data exploration and LLM-assisted analysis into everyday work, automating suitable tasks while applying personal judgment where needed.

Nice To Haves

Experience measuring performance in privacy-constrained settings, including HIPAA, server-side tracking, or consented tracking.
Experience with value-based bidding and predicted-LTV signals.
Familiarity with BigQuery, dbt, RudderStack, or Freshpaint.

Responsibilities

Set standards for measuring marketing impact using experiments, incrementality testing, attribution, and marketing mix modeling where appropriate.
Use causal inference, Bayesian methods, regression, and forecasting to guide budgets, channel mix, and creative toward patient growth and improved LTV/CAC.
Develop clear decision frameworks for budget questions and drive the company to act on them.
Ensure rapid decisions based on advertising and booking data are validated against longer-term outcomes, including visits and repeat patient engagement.
Turn analytical work into production models and automated decision systems, including the in-house ad optimization process.
Identify growth opportunities beyond marketing, such as improvements to the booking flow, provider availability, or signals sent to ad platforms, and drive changes with relevant teams.
Own analytical work end-to-end and influence how company spending decisions are made.

Benefits

Competitive compensation package
Comprehensive health insurance, including dental and vision
Light-filled Madison Square Park office
Generous PTO
401(k) with match
Citi Bike membership
Unlimited dietitian care
Continuous learning opportunities
Competitive salary and equity
Direct exposure to company leadership and the opportunity to drive impact in healthcare from day one