Senior Data Scientist

Headway, New York, NY +2

The role

Join us to build the decision engine for better mental health outcomes.

As a Senior Data Scientist, you will sit in the heart of a cross-functional product team and help turn messy, real-world signals into clear decisions. You will make sure we are capturing the right data, designing experiments that tell us what is actually driving outcomes, and translating findings into recommendations that teams can act on quickly. When the insight is stable and valuable, you will help operationalize it through predictive models that improve provider and patient experiences.

We’re looking for people who like ambiguity, enjoy hard problems, and want their work to matter in the world.

All jobs

Senior Data Scientist

Headway, New York, NY +2

Posted pay

$180K–$225K

a year

Compared with similar jobs

This base pay is near the median for senior data science jobs in the Bay Area.

Median: $205K a year
Other jobs in the group: 97

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: New York, NY +2
Work type: Hybrid
Level: Senior
Experience: 6+ years
Skills in the job text: Python
SQL
A/B testing
R
Posted: 26 days ago
Last check: 8 h ago
Job type: Data science

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Headway

Open tech jobs: 36
With posted pay: 100%
Median posted base: $222K–$279K

About Headway: funding, hiring and pay

Headway

About Headway: funding, hiring and pay

Company facts

Money raised: $321MSum of funding rounds on record
Newest round: Series DJul 23, 2024

Funding records can have errors and can be missing. The company page has the links.

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The role

Join us to build the decision engine for better mental health outcomes.

We’re looking for people who like ambiguity, enjoy hard problems, and want their work to matter in the world.

What will make you successful

6+ years using data to drive product or business decisions in product, growth, health, engineering, or operations environments.
Strong SQL and strong proficiency in Python or R for analysis and modeling.
Depth in experimentation and causal inference under real-world constraints.
Fluency with AI tools as part of your workflow: using LLMs and coding assistants to accelerate analysis, prototyping, and documentation, while still owning the judgment and rigor behind the output.
Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.
Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes.
Clear communication: you can explain complex work to non-technical audiences without losing the truth.
A self-starter mindset: you prioritize well, follow through, and do not need heavy oversight.
Motivation for our mission: improving access and affordability in mental healthcare.

Where you could land

Data Science at Headway is structured around three core pillars, each focused on a distinct area of the business. Within each pillar, smaller pods own specific problem spaces, and several of those pods are actively hiring. We keep our interview process consistent across teams, and ahead of your preliminary call we’ll share a pre-read with details on the specific pods that are hiring so we can talk through where you might fit best.

Patient: The Patient group owns how someone finds mental health care on Headway and gets to a provider who fits them: the first visit or phone call, search and matching, booking, and then attending a first appointment and staying in care. Data Science here means consumer funnel analytics, experimentation, and marketing science. That includes defining the metrics the group steers by, designing and reading experiments, and building causal and attribution methods for channels where you can't cleanly randomize. The modeling work spans ranking, matching, propensity, and the lifetime value and attribution models behind how we spend to acquire patients.
Payer & Outcomes: The Payer & Outcomes group is responsible for driving best-in-class patient outcomes, building a trustworthy and safe provider network, and delivering value-based care with responsible costs relative to outcomes, both through product work across the company and by working directly with payers. On the Data Science side, there's room to go deep on product data science, commercial data science, or a mix of both: experimentation, causal modeling, forecasting, and sizing work. People are often drawn to this team by its rapid growth and by how directly the day-to-day work ties back to Headway's mission.
Provider: Providers have real choices about where they build their practice. A provider might join Headway for credentialing, stay for reliable payments and tools that make the day easier, find new clients or bring over existing ones, or grow into a group practice. The Provider group owns that relationship and the trust it depends on, because we believe a clinician who feels supported can better help their patients. Data Science here is about understanding those choices: what draws a provider in, what keeps them, and what helps them grow with us. Experiments usually run at the provider level and often pair a product change with a conversation. Causal inference fills the gaps where randomization isn't possible. The models cover lifetime value, attribution, churn, and how providers respond to rates and incentives, along with work on how our tools support providers and their patients. Because the work spans product and go-to-market, Data Scientists here see the full provider relationship.

Senior Data Scientist

The role

Senior Data Scientist

The role

What you will do

What will make you successful

Pay and benefits

Comprehensive benefits

About Headway

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