New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
Headways mission is a big one to build a new mental health care system everyone can access. Weve built technology that helps people find great therapists with the first softwareenabled national network of providers accepting insurance.
1 in 4 people in the US have a treatable mental health condition, but the majority of providers dont accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice.
Headway was founded in 2019. Since then, weve grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. Were a SeriesD company with over $325m in funding from a16z (AndreessenHorowitz), Accel, GV (formerly GoogleVentures), SparkCapital, ThriveCapital, ForerunnerVentures and HealthCare Service Corporation.
Join us, and help change mental healthcare for the better.
Our Growth teams 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.
Were 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 topoffunnel acquisition performance across channels including SEO, SEM, AEO, paid social, and other organic surfaces. Youll 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, youll combine behavioral data, experimentation, and predictive modeling to quantify marketing impact, improve lead quality, and inform channel strategy. Youll collaborate closely with Marketing, Product, and Engineering to turn insights into datadriven 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.
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 performancebased 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.
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience.
Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in EVerify. To learn more, click here.
We believe that to build the best startup team, we must build a diverse, equitable and inclusive team. We encourage people from all backgrounds to apply to all roles, and we proactively work to design hiring processes that mitigates bias. To help us track the parity in our candidate pipelines and efficacy of our recruiting efforts, please consider answering the following demographic questions.
While completion of this survey is required, you will have the option to select I don't wish to answer for all questions. Your responses will be used ( in aggregate only ) to help us identify areas of improvement in our process.
Your responses will not be linked to your specific application and will not in any way be used in the hiring decision.
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