Senior Data Scientist, Growth

Berry Street • New York, NY

12h

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’s mission is to grow patient volume while improving lifetime value (LTV) and customer acquisition cost (CAC), and to build 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, working across Growth, Product, and Engineering.

The Growth Data Scientist will establish standards for measuring marketing impact using experiments, incrementality testing, attribution, and marketing mix modeling (MMM) as appropriate. They will use causal inference, Bayesian methods, regression, and forecasting to guide budget, channel mix, and creative decisions, and translate open-ended investment questions into decision frameworks. They will account for the lag between bookings and meaningful patient outcomes, build production models and automated decision systems—including an in-house ad optimization process—and identify growth opportunities beyond marketing, such as improvements to booking flows, provider availability, or signals sent to ad platforms.

Berry Street is a healthcare platform connecting patients with more than 2,000 clinicians and AI tools to address chronic and acute conditions. The company works with health plans, health systems, and care management companies across all 50 states. Launched in 2023, it has served hundreds of thousands of patients and is Series B, backed by investors including Khosla, Northzone, and FJ Labs.

Requirements

• 5–8+ years in data science or marketing science at a company with meaningful paid acquisition.
• 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 limitations of multi-touch models, when MMM is worthwhile, and how to validate both against incrementality results.
• Fluency in SQL and Python.
• Comfort building datasets from messy ad platform, product, and warehouse data.
• Ability to select appropriate methods, judge when evidence is sufficient to act, and build statistically sound, reproducible, robust solutions.
• Ability to make clear, persuasive recommendations to technical and non-technical audiences that are adopted.

Nice To Haves

• Experience measuring growth in privacy-constrained settings, including HIPAA, server-side tracking, or consented tracking.
• Experience with value-based bidding and predicted-LTV signals.

Responsibilities

• Set standards for measuring marketing impact using experiments, incrementality testing, attribution, and MMM as appropriate.
• Use causal inference, Bayesian methods, regression, and forecasting to guide budget allocation, channel mix, and creative decisions toward increased patient volume and improved LTV/CAC.
• Develop clear decision frameworks for budget questions and drive their adoption across the company.
• Ensure rapid growth decisions are assessed against longer-term outcomes, accounting for the difference between bookings, visits, and returning patients.
• Convert analyses into production models and automated decision systems used by the team, including an in-house ad optimization process.
• Identify growth opportunities beyond marketing, make the case for changes, and drive implementation with relevant teams.
• Build datasets from ad platform, product, and warehouse data when needed measures are not already available.
• Communicate persuasive recommendations to technical and non-technical audiences so decisions are adopted.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed