Senior Data Scientist - End-to-End Production ML

Hims & Hers; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO

Comprehensive health benefits

Employee Stock Purchase Program (ESPP)

401k with employer matching

Offsite team retreats

Job summary

Hims & Hers is seeking a Senior Data Scientist to translate complex business challenges into scalable data products and machine learning models. You will own projects from exploratory analysis to production deployment, collaborating with Product, Engineering, and Finance to optimize operations and customer experiences.

The role emphasizes production-ready code, strong Python/SQL skills, and experience in cloud environments with CI/CD, ML Ops, and collaboration across teams.

Qualifications

• 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.
• Strong expertise in Python and SQL, plus the Python data stack (pandas, NumPy, scikit-learn) and ML frameworks (PyTorch, XGBoost, LightGBM).
• Experience in cloud environments (AWS or GCP), CI/CD workflows, version control (Git), and ML Ops principles.

Responsibilities

• Build and deploy end-to-end data science solutions and ML models.
• Own the model lifecycle from data extraction to deployment, A/B testing, and monitoring.
• Collaborate with Engineering, Product, and Finance to translate model outputs into business insights.
• Maintain production-grade code with strong engineering standards and peer reviews.
• Mentor junior data scientists and analysts to promote best practices.

Skills

Python

SQL

Data science

Communication

Analytical thinking

ML Engineering

Education

BS/MS in quantitative field

Tools

Pandas

NumPy

scikit-learn

PyTorch

XGBoost

LightGBM

AWS

GCP

Git

CI/CD

MLflow

Job description

Hims & Hers is seeking a Senior Data Scientist to translate complex business challenges into scalable data products and machine learning models. You will own projects from exploratory analysis to production deployment, collaborating with Product, Engineering, and Finance to optimize operations and customer experiences.

The role emphasizes production-ready code, strong Python/SQL skills, and experience in cloud environments with CI/CD, ML Ops, and collaboration across teams.