Senior Data Scientist

hims & hers

. Translate complex business challenges into robust, scalable data products and machine learning models .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying production-ready machine learning models and data products, with a strong focus on translating business challenges into actionable insights. Proficient in Python, SQL, and various ML frameworks, with a solid understanding of cloud environments and CI/CD workflows.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyMachine Learning Model DeploymentCloud-Based Environments (AWS, GCP)Data Extraction and Feature Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceFeature EngineeringA/B TestingPerformance MonitoringPandasNumPyScikit-LearnPyTorchXGBoost

Soft Skills

Technical GuidanceCommunication with StakeholdersProject Management

Tools & Technologies

CI/CD WorkflowsGitMLOps Principles

Certifications & Qualifications

BS in Data ScienceMS in StatisticsEquivalent Experience in Quantitative Field

Industry Keywords

Production-Ready ModelsBusiness ValueCustomer ExperienceExploratory AnalysisAutomated Production Pipelines

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Translate complex business challenges into robust, scalable data products and machine learning models
Own projects from exploratory analysis through production deployment
Optimize operations, refine marketing efforts, and enhance the customer experience
Write complex SQL and engineer features
Deploy baseline models quickly and iterate toward more complex solutions
Own the complete model lifecycle from data extraction and feature engineering through deployment, A/B testing, and performance monitoring
Partner with Engineering, Product, Finance, and other stakeholders to define technical requirements and turn model outputs into actionable business insights
Write clean, modular, production-ready code
Participate in peer code reviews and contribute to technical best practices
Break complex project requirements into executable milestones
Provide technical guidance to junior data scientists and analysts

Requirements

What you’ll need

5+ years of applied experience in Data Science or ML Engineering
Track record of delivering production-ready models that drive measurable business value
Strong expertise in Python and SQL
Deep familiarity with pandas, NumPy, and scikit-learn
Familiarity with ML frameworks such as PyTorch, XGBoost, or LightGBM
Ability to build production-ready solutions
Experience in cloud-based environments such as AWS or GCP
Familiarity with CI/CD workflows, Git, and MLOps principles
Ability to connect technical metrics to business outcomes and select appropriate algorithms
Ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders
BS, MS, or equivalent experience in a quantitative field such as Data Science, Statistics, Economics, Computer Science, or Applied Mathematics
Experience building initial machine learning models and automated production pipelines (preferred)
Experience in 1–2 advanced business ML areas, such as propensity modeling, forecasting, optimization, or causal inference (preferred)
Must be legally authorized to work in the U.S. without restriction for any employer
Must not require immigration sponsorship by Hims & Hers to work in the U.S.

Benefits

Comp & perks

Equity compensation for full-time roles
Unlimited PTO
Company holidays
Quarterly mental health days
Comprehensive medical, dental, and vision benefits
Parental leave
Employee Stock Purchase Program (ESPP)
401k benefits with employer matching contribution
Offsite team retreats
Flexible/remote work approach
Reasonable accommodations for qualified individuals with disabilities and disabled veterans