Senior Data Scientist, Growth

Our Growth team’s mission is to help every patient discover Headway. We build the analytics, measurement, and experimentation systems that power marketing performance across paid channels (SEM, paid Social) and unpaid channels (SEO, AEO, organic). Our goal is to combine advanced analytics with a deep understanding of patient behavior to grow the Headway network efficiently and effectively.

We’re seeking a Senior Data Scientist with a passion for applying data science to quantify and optimize growth - helping us transform how patients discover Headway.

Your mission is to measure, model, and optimize top-of-funnel acquisition performance across channels including SEO, SEM, AEO, paid social, and other organic surfaces. You’ll build and advance the measurement frameworks that guide these investments - spanning attribution, incrementality testing, and media mix modeling - to understand what truly drives efficient growth.

In this role, you’ll combine behavioral data, experimentation, and predictive modeling to quantify marketing impact, improve lead quality, and inform channel strategy. You’ll collaborate closely with Marketing, Product, and Engineering to turn insights into data-driven strategies that accelerate acquisition. This is a unique opportunity to apply scientific rigor to a mission that matters: making mental healthcare more accessible at scale.

• Design and execute experiments and causal analyses across top-of-funnel acquisition channels, including A/B, geo, and lift tests.
• Build and maintain measurement frameworks for attribution, incrementality, and media mix modeling to guide marketing investment.
• Partner with Marketing and Product to analyze channel performance, optimize campaigns, and improve lead efficiency and quality.
• Develop predictive models and analytics pipelines to identify high-potential audiences and inform targeting strategy.
• Translate complex analytical findings into actionable insights for marketing, product, and leadership teams.
• Collaborate with Engineering and Data teams to ensure data quality, instrumentation, and measurement reliability.

• Degree in Statistics or a related quantitative field; Masters or PhD preferred
• 6+ years of experience in data science, applied machine learning, or a related field
• Strong proficiency in Python, SQL, and experimentation/causal inference techniques
• Experience with marketing measurement, attribution, or predictive modeling (e.g., MMM, incrementality testing, channel optimization)
• Comfort with ambiguous, open-ended research questions and the ability to translate findings into actionable insights
• Excellent communication skills — able to explain complex ideas simply and build trust across teams
• Passion for improving access to mental health care and advancing patient reach through data-driven growth strategies

The expected base pay range for this position is $183,600 - $216,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development