Staff Data Scientist

Hims & Hers · Remote · US Remote ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$190k – $230k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Staff level role
  • Fully remote
  • Python + SQL
  • ML Ops focus
  • Unlimited PTO

As a technical leader, you will identify high-impact problems and translate ambiguous business questions into executable data roadmaps. You will architect core ML infrastructure, ensuring solutions are scalable, robust, and integrated into production environments.

What you'll do

  • Design and implement automated machine learning systems from scratch
  • Translate complex business needs into concrete technical roadmaps
  • Lead end-to-end deployment of robust and maintainable ML products
  • Partner with Engineering and Product to align technical strategy
  • Establish standards for model development and conduct peer reviews
  • Mentor senior and mid-level data scientists to elevate technical quality

What you'll need

  • 8+ years in Data Science or ML Engineering with production impact
  • High proficiency in Python and SQL for data analysis
  • Expertise with pandas, NumPy, scikit-learn, and PyTorch or XGBoost
  • Experience with CI/CD, ML Ops, and cloud environments like AWS or GCP
  • Ability to influence stakeholders and explain technical logic clearly
  • BS, MS, or PhD in a quantitative field or equivalent expertise

Nice to have

  • Experience moving models from notebooks to automated production pipelines
  • Background in customer behavior, churn, or lifetime value modeling
  • Skills in time-series forecasting and anomaly detection
  • Experience building optimization engines for marketing or inventory
  • Knowledge of causal inference and robust experimental design

Stack

  • Python
  • SQL
  • pandas
  • NumPy
  • scikit-learn
  • PyTorch
  • XGBoost
  • LightGBM
  • AWS
  • GCP

How you'll work

  • Fully remote work approach
  • Flexible schedule

What you get

  • Competitive salary and equity compensation
  • Unlimited paid time off and company holidays
  • Quarterly mental health days
  • Comprehensive medical, dental, and vision insurance
  • Parental leave support
  • Employee Stock Purchase Program
  • 401k with employer matching contribution
  • Offsite team retreats