wagey.ggwagey.ggv1.0-38ee235-5-May
Browse Tech JobsCompaniesFeaturesPricingFAQs
Log InGet Started Free
Jobs/Data Scientist Role/hims-and-hers - Staff Data Scientist
hims-and-hers

hims-and-hers - Staff Data Scientist

Remote - United States$180k - $220k+ Equity3w ago
RemoteStaffNAMental HealthCloud ComputingData ScientistSQLPythonPandasscikit-learnXGBoost

Upload My Resume

Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT

Apply in One Click
Apply in One Click

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. 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) • Systemic Problem Solving: 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 • Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership • Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) • Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise • Forecasting Expertise: Specialization in time-series analysis, probabilistic forecasting, and handling non-stationary data in high-growth environments • Optimization & Operations Research: Experience building optimization engines for marketing spend, inventory management, or resource allocation • Causal Inference: Expertise in experimental design beyond standard A/B testing, including quasi-experiments and structural equation modeling • OUR BENEFITS (THERE ARE MORE BUT HERE ARE SOME HIGHLIGHTS): • 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 • Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. • It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. • Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected] and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. • To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement https://www.hims.com/global-candidate-privacy-statement.

Responsibilities

• Build Scalable Solutions: Lead the design and delivery of ML systems and data products that directly impact company-wide growth and operational strategy • Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) 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 Finance 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. 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 • 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

Benefits

• $180K – $220K • Offers Equity • The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant. • Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors. • This job has application limits • To ensure that we can give proper consideration to everyone who's excited about joining Hims & Hers, we ask that you please only apply to a specific role once within a 60-day period. If you weren’t selected this time, you are welcome to check back and reapply after 60 days. • We truly appreciate your interest in Hims & Hers and look forward to staying connected! • Autofill from resume • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Candidate Information • LinkedIn Profile URL • If you don't have a LinkedIn profile, please write NA • or drag and drop here • Have you built and deployed a data or machine learning model into production that is used by the business? • Do you have recent hands-on experience writing production-level code in both Python and SQL? • In 2 to 3 sentences, describe a forecasting or predictive modeling problem you have worked on and the business decision it informed. • Could you describe a time you influenced a non-technical stakeholder to adopt a data or ML-driven solution? What was the decision and outcome? • Are you legally authorized to work in the U.S. without restriction for any employer? • Will you now or in the future require immigration sponsorship by Hims & Hers in order to work for Hims & Hers in the U.S.? • Have you previously worked for hims & hers as an employee or contractor/consultant? • This includes any subsidiary companies, including but not limited to Apostrophe or Honest Health. • Recruiting Privacy Policy • Submit Application • Hims & Hers may use Artificial Intelligence with this application. Learn more.

Get Started Free

No credit card. Takes 10 seconds.

Privacy·Terms··Contact·FAQ·Wagey on X