# Staff Data Scientist

**Company**: Hims & Hers
**Location**: Remote, US
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $190K - $230K
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://jobs.ashbyhq.com/hims-and-hers/b005509f-d49c-45e9-83ea-010112c862a4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_85363692-15d

## Description

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health.

As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team.

Responsibilities:

- Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems.

- Translate Business Needs: Turn ambiguous business questions into concrete technical roadmaps that deliver clear, actionable results.

- Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure.

- Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics.

- Define Technical Standards: Act as a force multiplier by establishing the standards for model development.

- Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems.

- Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.

Requirements:

- 8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact.

- Technical Mastery: High proficiency in Python and SQL.

- Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact.

- Leadership & Influence: Proven ability to influence without authority.

- Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment.

Preferred Qualifications:

- 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines.

- Advanced Business ML: Experience in customer behavior & propensity modeling, applied forecasting, optimization, or causal inference.

Benefits:

- Competitive salary & equity compensation for full-time roles.

- Unlimited PTO, company holidays, and quarterly mental health days.

- Comprehensive health benefits including medical, dental & vision, and parental leave.

- Employee Stock Purchase Program (ESPP).

- 401k benefits with employer matching contribution.

- Offsite team retreats.

## Skills

### Required
- Python
- SQL
- Machine Learning
- Data Science
- CI/CD
- ML Ops

### Nice to have
- Customer Behavior & Propensity Modeling
- Applied Forecasting
- Optimization
- Causal Inference

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/hims-and-hers/b005509f-d49c-45e9-83ea-010112c862a4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)