Tech Stack
Responsibilities
- Lead the design and delivery of ML systems and data products that directly impact company-wide growth and operational strategy.
- Translate ambiguous business questions into concrete technical roadmaps that deliver clear, actionable results.
- Lead the end-to-end deployment of ML products, ensuring they are robust, maintainable, and integrated into production infrastructure.
- Partner across Engineering, Product, and Finance to ensure technical strategy solves business problems and moves core metrics.
- Establish standards for model development, leading design docs and peer reviews for reproducibility and seamless integration with Data and Analytics Engineering.
Benefits
- 401k
- Equity
- Gym Membership
- Health Insurance
- Learning Budget
- Parental Leave
- Remote Work
- Unlimited PTO
Culture
Work-Life BalanceTalent-First Flexible/Remote WorkDiversity, Equity, And Inclusion
Requirements
Required: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise
Regions: Us
Get jobs like this in your inbox
Weekly AWS, GCP, Git hiring trends and salary data — free.
Join 6 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About hims-and-hers
Industry: healthtech
Hims & Hers is a leading health and wellness platform focused on making healthcare affordable, accessible, and personal. They provide personalized care from diagnosis to treatment, aiming to normalize health and wellness challenges.
View company profile →Compensation
Equity: equity compensation