Sr. Data Scientist
Hims & Hers · US Remote · US
Clinical Data Science
Remote
Dentist
Demand82
Career growth78
Healthcare fit52
Remote potential80
5-year outlook
Likely competitive with senior data science roles in digital health and tech, with growth tied to production ML and healthcare data experience; exact compensation is not stated.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-10-20
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Profession fit
- Dentist
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying only if you already have 5+ years of applied data science/ML experience and production deployment exposure; clinicians without that technical track should treat it as a stretch or long-term target.
Who should apply
Clinicians with strong Python/SQL and machine learning experience, production ML project history, and healthcare analytics or digital health domain knowledge; physician-data scientists and healthcare graduates with a serious data science track record.
CV angle
Reframe real clinical and healthcare experience as domain expertise: quantify analytics, quality-improvement, or operational projects, and highlight Python/SQL/ML work, A/B testing, model deployment, and cross-functional stakeholder impact. Do not claim data science experience you do not have.
Skills to highlight
- Python
- SQL
- Machine learning
- Production model deployment
- A/B testing
- Feature engineering
- AWS/GCP
- MLOps
Role summary
Senior data scientist role at a digital health company, owning end-to-end ML/data products from SQL and feature engineering through deployment, A/B testing, and monitoring while partnering with product, engineering, and finance.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.