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Jobs(26,670)/Data Scientist Role(225)/hims-and-hers (45) - Sr. Data Scientist
hims-and-hers

hims-and-hers - Sr. Data Scientist

Remote - London, England, United Kingdom£75k - £95k3w ago
RemoteSeniorEMEACloud ComputingArtificial IntelligenceData ScientistSQLPythonPandasscikit-learnXGBoost

Requirements

• 5+ years of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value. • Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). • Engineering Rigor: Proven ability to build for production. Experience working in cloud-based environments (AWS or GCP) and familiarity with CI/CD workflows, version control (Git), and ML Ops principles. • Analytical Problem Solving: Strong ability to connect technical metrics to business outcomes. You know how to choose the right algorithm for the right problem rather than just the most complex one. • Communication: Excellent ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders. • Education: BS, MS, or equivalent experience in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.). • 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 1-2 of the following): • Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. • Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. • Optimization: Building engines for marketing spend, inventory management, or resource allocation. • Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing. • 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 from Scratch: Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ML) quickly to prove value before iterating toward complex solutions. • End-to-End Execution: Own the complete model lifecycle, from data extraction and feature engineering to deployment, A/B testing, and ongoing performance monitoring. • Cross-Functional Collaboration: Partner closely with Engineering, Product, and Finance teams to define technical requirements and translate model outputs into clear, actionable business insights. • Uphold Technical Standards: Write clean, modular, and production-ready code. Actively participate in peer code reviews and contribute to the team’s technical best practices. • Drive Project Delivery: Navigate technical ambiguity within your domain, breaking down complex project requirements into manageable, executable milestones. • Team Mentorship: Provide technical guidance and support to junior data scientists and analysts, helping them troubleshoot roadblocks and adopt best practices.

Benefits

• £75K – £95K • 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 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.

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