Sr. Data Scientist

hims & hers
London
Workplace: HybridFull timeGBP 75,000 - 95,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Technical communication","Collaboration","Analytical problem-solving","Mentorship","Engineering rigor"]

Build from scratch and own the full lifecycle of machine learning models—from exploratory analysis and feature engineering through deployment, A/B testing, and ongoing performance monitoring. Translate complex business problems into scalable data products that optimize operations, refine marketing efforts, and improve customer experience. Partner with Product, Engineering, and Finance to turn model outputs into actionable insights, while writing clean, production-ready code and mentoring junior data scientists.

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FursaFursa
hims & hers
hims & hers
10 hours ago

Sr. Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build from scratch and own the full lifecycle of machine learning models—from exploratory analysis and feature engineering through deployment, A/B testing, and ongoing performance monitoring. Translate complex business problems into scalable data products that optimize operations, refine marketing efforts, and improve customer experience. Partner with Product, Engineering, and Finance to turn model outputs into actionable insights, while writing clean, production-ready code and mentoring junior data scientists.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Translate business challenges into robust, scalable data products and machine learning models.
  • •Own the complete model lifecycle, including data extraction, feature engineering, deployment, A/B testing, and performance monitoring.
  • •Collaborate with Product, Engineering, and Finance to define technical requirements and communicate actionable insights.
  • •Write clean, modular, production-ready code, participate in peer code reviews, and help uphold team technical standards.
  • •Deliver in an ambiguous environment by breaking down complex requirements into executable milestones and mentoring junior team members.

Pay and Benefits

Salary: GBP 75,000 - 95,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of applied experience in data science or ML engineering, delivering production-ready models with measurable business value.
  • •Strong expertise in Python and SQL, including pandas, NumPy, and scikit-learn, plus familiarity with PyTorch, XGBoost, or LightGBM.
  • •Proven production engineering rigor, including experience with AWS or GCP and familiarity with CI/CD, Git, and MLOps principles.
  • •Ability to connect technical metrics to business outcomes and choose appropriate algorithms for each problem.
  • •BS, MS, or equivalent experience in a quantitative field such as data science, statistics, economics, CS, or applied math.
Experience:5+ yearsHealthcareHealth and wellnessMachine learningData scienceA/B testingMarketingCloud
Skills:Technical communicationCollaborationAnalytical problem-solvingMentorshipEngineering rigor
Tech Stack:PythonSQLPandasNumPyScikit-learnPyTorchXGBoostLightGBMAWSGCPCI/CDGitMLOpsA/B testing

Company Brief

hims & hers
A telehealth and consumer wellness platform offering personalized care and products across sexual health, hair, mental health, dermatology, weight loss and primary care via digital consultations, prescriptions, and fulfillment.
Industry: HealthTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2017
Glassdoor
Glassdoor: 2.9
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