About the job
At Headway, we are on a transformative journey to revolutionize mental health care accessibility. Our innovative technology connects individuals with exceptional therapists through the first software-enabled national network that accepts insurance.
With 1 in 4 Americans facing treatable mental health conditions, our mission is to dismantle barriers to therapy by facilitating therapists in accepting insurance and expanding their practices.
Founded in 2019, Headway has grown into a vibrant network of over 60,000 mental health providers across all 50 states, serving more than 1 million patients. Backed by prestigious investors including a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation, we are a Series D company with over $325 million in funding.
We believe your time with us will be the most fulfilling of your career. Join us in making a meaningful impact on the future of mental health care.
About the Role
Join us in shaping the metrics and decision-making processes that drive patient growth.
As a Senior Data Scientist in Marketing Analytics, you will take on a pivotal role as the senior analytical and strategic leader, making marketing performance clear, credible, and actionable. Collaborating closely with Growth Marketing leaders and channel managers across paid, lifecycle, and organic marketing, as well as Finance, Product, and Engineering, your mission will be to help Headway tackle critical questions:
- What is genuinely incremental?
- Where should we allocate our resources next?
- What factors are influencing performance changes?
- How can we successfully scale effective strategies without misconceptions?
You will develop the frameworks, analyses, and modeling techniques that empower the marketing team to accelerate their efforts confidently. This role goes beyond mere dashboard monitoring or basic attribution; it provides high-stakes decision support for our growth engine.
What You Will Do
- Lead incrementality measurement across various channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized testing isn't viable. Establish clear parameters, decision rules, and benchmarks for success.
- Create a trustworthy marketing measurement system. Define authoritative metrics such as CAC, LTV, payback periods, conversion rates, and retention.

