Staff Data Scientist

🕒 April 14

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hims & hers

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

🛍️ eCommerce

🧘 Wellness

Healthcare Insurance • eCommerce • Wellness

Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.

📋 Description

• Lead the design and delivery of ML systems and data products that directly impact company-wide growth and operational strategy • Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results • 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 • Partner across Engineering, Product, and Finance to ensure our technical strategy is solving the right business problems and moving our core metrics • Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates seamlessly with the work of our Data and Analytics Engineering partners • Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems

🎯 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 • High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) • Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value • Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership • Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) • BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise

🏖️ 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