About the job
At Headway, we are on a transformative mission to create an accessible mental health care system for everyone. Our innovative technology connects individuals with exceptional therapists through the first software-driven national network of providers who accept insurance.
In the United States, 1 in 4 individuals has a treatable mental health condition, yet the majority of providers do not accept insurance, rendering therapy unaffordable for many. At Headway, we are committed to reshaping mental healthcare by simplifying the process for therapists to accept insurance and expand their practices.
Founded in 2019, Headway has rapidly evolved into a diverse national network comprising over 60,000 mental healthcare providers across all 50 states. Our platform has successfully served over 1 million patients, and we are proud to be a Series D company backed by prominent investors including a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation.
We aim to make your time with us the most impactful experience of your career. Join us in revolutionizing mental healthcare for the better.
About the Role
We invite you to be part of our team and contribute to the development of a decision engine that enhances mental health outcomes.
As a Senior Data Scientist, you will play a pivotal role within a cross-functional product team, transforming complex, real-world data into actionable insights. You will ensure we capture the right data, design effective experiments that reveal the drivers of outcomes, and swiftly translate findings into implementable recommendations. Once insights are validated and valuable, you will operationalize them through predictive models that elevate the experiences of both providers and patients.
If you thrive in uncertain environments, relish tackling challenging problems, and seek to make a meaningful impact, you will find a great fit here.
Your Responsibilities
- Analytics Partner: Collaborate closely with Product, Engineering, Design, Operations, and Clinical stakeholders to define questions, metrics, guardrails, and decision-making criteria.
- Rigorous Experimentation: Design and analyze A/B tests and quasi-experiments, establishing clear hypotheses, power considerations, and success criteria upfront.
- Behavior Strategy Connection: Leverage funnel, cohort, segmentation, and lifecycle analyses to assess how users and providers interact with Headway and identify where product modifications will yield the most significant impact.
- Causal Inference: Apply causal inference methodologies to enhance our experimental findings.