Senior Data Scientist — End-to-End ML (Remote)

Hims, Inc.; United States; Hybrid; USD 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Equity compensation

Unlimited PTO

Health benefits

401k with employer matching

Offsite team retreats

Zusammenfassung

Hims & Hers is seeking a Senior Data Scientist to translate complex business challenges into robust data products and scalable ML models, owning projects from exploration to deployment.

You will collaborate with Product, Engineering, and Business stakeholders to optimize operations, refine marketing, and enhance customer experience, while ensuring production-grade code and mentoring teammates.

Qualifikationen

• 5+ years of applied experience in Data Science or ML Engineering with production-ready models.
• Strong expertise in Python and SQL and the Python data stack (pandas, NumPy).
• Experience in cloud environments (AWS or GCP) and ML Ops practices.
• Ability to translate technical insights into business value for non-technical stakeholders.
• Excellent communication and collaboration with cross-functional teams.

Aufgaben

• Build data products and ML models from scratch in a 0-to-1 environment.
• Own end-to-end model lifecycle from data extraction to deployment and monitoring.
• Collaborate with Product, Engineering, and Finance to define technical requirements.
• Write clean, production-ready code and participate in peer reviews.
• Drive project delivery and break down complex milestones.
• Mentor junior data scientists and analysts.

Kenntnisse

Python

SQL

Pandas/NumPy

ML Frameworks

AWS/GCP

CI/CD

ML Ops

Communication

BS/MS in Quant

Ausbildung

BS in a quantitative field

MS in a quantitative field

Tools

PyTorch

XGBoost

LightGBM

Jobbeschreibung

Hims & Hers is seeking a Senior Data Scientist to translate complex business challenges into robust data products and scalable ML models, owning projects from exploration to deployment.

You will collaborate with Product, Engineering, and Business stakeholders to optimize operations, refine marketing, and enhance customer experience, while ensuring production-grade code and mentoring teammates.