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About the Role

Berry Street is seeking its first Growth Data Scientist to own the measurement and investment strategy for growth initiatives. This role is crucial for scaling patient volume while improving lifetime value (LTV) and customer acquisition cost (CAC), and for building the essential measurement models the company relies on daily.

Responsibilities

Own how we measure growth, setting standards using experiments, incrementality testing, attribution, and MMM.
Steer budget and channel mix using causal inference, Bayesian methods, regression, and forecasting to optimize for patient acquisition and LTV/CAC.
Ensure the trustworthiness of fast decisions by validating short-term metrics against long-term outcomes.
Build production models and automated decision systems, including in-house ad optimization processes.
Identify and advocate for growth levers beyond marketing, such as the booking flow or provider availability.
Collaborate with Growth, Product, and Engineering teams.

Requirements

5–8+ years in data science or marketing science with significant paid acquisition experience.
Proven track record of owning analytical work end-to-end and influencing spending decisions.
Strong foundation in statistics, including experimental design, causal inference, and predictive modeling.
Deep understanding of marketing measurement principles beyond channel mechanics.
Fluency in SQL and Python, with experience building datasets from various data sources.
Technical rigor, including selecting appropriate methods, knowing when evidence is sufficient for action, and building statistically sound, reproducible solutions.
Ability to present clear, persuasive recommendations to both technical and non-technical audiences.
Proactive and comfortable working in an ambiguous, fast-paced environment.
Systems thinking approach to building reliable and resilient solutions.
AI-native approach, utilizing agentic data exploration and LLM-assisted analysis.
Experience in a privacy-constrained setting (HIPAA, server-side tracking) is a plus.
Experience with value-based bidding and predicted-LTV signals is a plus.

Skills

Experimental design
Incrementality testing
Attribution modeling
Marketing Mix Modeling (MMM)
Causal inference
Bayesian methods
Regression analysis
Forecasting
SQL
Python
Data modeling
Data analysis
Statistical analysis
Predictive modeling
AI
LLM

Location

New York, NY

Work Type

Onsite
Full-time

Experience Level

5-8+ years

Salary/Compensations

Competitive salary and equity

Benefits

Competitive compensation package
Chance to drive impact in healthcare with direct exposure to company leadership
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

About the Company

Berry Street is building on the convergence of AI, GLP-1s, and the consumerization of healthcare, leveraging insurance to make life-changing metabolic care accessible.
Our platform connects patients with 2,000+ clinicians and AI tools to treat a wide range of chronic and acute conditions.
We partner with major health plans, health systems, and care management companies across all 50 states.
Launched in 2023, we have served hundreds of thousands of patients and are a Series B company backed by prominent investors.
Our investors include Khosla, Northzone, FJ Labs, and the founders of Revolut, Grow Therapy, and Spring Health.