Data Scientist: Growth & Marketing

Role overview Help growth, go-to-market, and marketing teams understand what drives customer acquisition and business growth. You’ll build the data models and measurement systems that connect activity across the funnel, then use analysis and experiments to guide investment and strategy.

Responsibilities - Partner with go-to-market and marketing teams to answer business questions and inform growth decisions. - Analyze acquisition, conversion, retention, and campaign performance to identify opportunities. - Connect attribution, CRM, and product data into trusted go-to-market metrics. - Build and maintain dbt models, dashboards, and analytical tools for team use. - Design and assess experiments to determine which approaches are effective. - Improve data quality and make insights easier to access through self-service analytics and automation.

Requirements - Experience applying analytics, data science, and experimentation to growth, marketing, or go-to-market outcomes. - Strong SQL skills and experience with dbt or a similar transformation tool. - Experience building analytical data models and dashboards with BI or visualization tools. - Proficiency in Python for analysis, experimentation, or statistical modeling. - Business judgment and the ability to turn complex findings into clear, practical recommendations. - Ability to work independently, handle ambiguity, and collaborate across teams.

Nice to have Experience in growth, marketing, or revenue operations analytics; marketing attribution or incrementality testing; forecasting, segmentation, lead scoring, or churn models; or analytics automation. Background in healthcare, fintech, or another regulated industry is also useful.

Tools and work setup The data stack includes SQL and dbt, with Snowflake as the warehouse during a migration from Redshift. Omni and Hex support reporting and analysis; Python, GitHub, and CI/CD are also used. Familiarity with application source data and systems such as Ruby on Rails is helpful, though the role does not work directly in the application layer day to day.