Senior Growth Data Scientist, Fullscript

• This is a strategic, hands-on role for someone who thrives at the intersection of data, business, and digital marketing
• 5+ years of experience in marketing analytics or data science with measurable business impact
• Strong proficiency in SQL and Python or R
• Experience working with Snowflake, DataBricks, BigQuery, or a comparable data warehouse
• Deep understanding of digital marketing platforms, including Google Ads, Facebook Ads, and Google Analytics
• Background in A/B testing, statistical modeling, clustering, and hypothesis testing
• Ability to balance technical analysis with commercial understanding and business judgment
• Excellent communication skills, with experience consulting and influencing senior stakeholders
• Ability to frame the right questions, define metrics, and recommend actions with confidence

Desirable

• We’re looking for a Senior Growth Data Scientist to help Fullscript understand how and where to invest in growth
• You’ll focus on our top-of-funnel marketing analytics, working with experts across Marketing and Growth to uncover what drives acquisition, efficiency, and long-term practitioner engagement
• Your job will be turning complex marketing data into clear insights that guide smarter decisions. You'll identify which channels and campaigns work, which don’t, and where every dollar delivers the greatest impact
• You’ll play a key role in helping us reduce the cost of acquiring new practitioners and defining the KPIs that measure what success truly looks like
• You’ll work closely with marketing leaders and senior stakeholders who know their craft (and expect you to know yours)
• You’ll act as both analyst and consultant, taking business requirements, refining them into the right questions, and coming to the table ready to advise, challenge, and guide direction as an expert
• Your work will shape how Fullscript invests in growth, improves conversion efficiency, optimizes paid channels, and models key metrics like CAC and LTV to pinpoint the actions that drive lasting engagement
• Analyze top-of-funnel marketing performance across channels such as Google Ads, Meta, and other digital platforms
• Build frameworks that connect marketing spend to downstream results like acquisition, activation, and retention
• Model Customer Acquisition Cost (CAC), Lifetime Value (LTV), and practitioner growth metrics to guide investment
• Develop experiments, hypothesis tests, and attribution models to measure campaign impact
• Partner with marketing and growth teams to define the right KPIs and reporting structures
• Perform segmentation, clustering, and behavioral analysis to identify high-value customer groups
• Demonstrated experience building and leveraging multi-attribution models, MMMs, and incrementality testing
• Present findings to senior stakeholders, translating technical results into clear recommendations that influence strategy