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Staff Data Scientist

hims-and-hersUS RemoteANALYTICS & DATA SCIENCE
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Salary
$190K – $230K
Job type
Full-time
Work mode
Remote
Experience
Senior · 8+ yrs
Posted
24 Sept 2026
Status
Open · checked 7d ago

About this role

Staff Data Scientist is a remote full-time technical leadership position based in the US that suits experienced machine learning professionals looking to direct foundational ML systems and mentor team members. Hims & Hers is hiring this role to bridge business strategy with scalable production machine learning.

Role Overview

As a Staff Data Scientist, the individual acts as a technical anchor and force multiplier within the data organization. The professional translates ambiguous business challenges into structured technical roadmaps and builds automated machine learning infrastructure from the ground up.

Key Responsibilities

Design and implement automated machine learning systems while making pragmatic architectural choices and writing production code
Convert complex business questions regarding customer acquisition and churn dynamics into actionable technical strategies
Manage the complete end-to-end deployment of machine learning models to guarantee reliability and integration into production infrastructure
Collaborate across Engineering, Product, and Business teams to align technical execution with core company metrics
Establish development standards, author design documents, and conduct peer reviews with Data and Analytics Engineering partners
Accountable for the entire lifecycle of models from initial data design through to long-term business performance
Mentor senior and mid-level data scientists to foster continuous learning and elevate technical standards

Requirements

Eight or more years of professional experience in data science or machine learning engineering with a history of delivering measurable business results
High proficiency in Python and SQL alongside expert knowledge of pandas, NumPy, scikit-learn, and at least one major machine learning framework
Capability to handle unique conceptual problems and build solutions for long-term scalability
Demonstrated ability to influence stakeholders without authority and explain technical logic to executive leadership
Direct experience with CI/CD, MLOps, and model lifecycles within cloud-based production environments like AWS or GCP
Bachelor's, Master's, or PhD degree in a quantitative field such as data science, statistics, economics, computer science, or applied mathematics

Nice to Have

Experience building 0-to-1 machine learning models from exploratory notebooks into automated production pipelines
Background in customer behavior and propensity modeling including churn, lead scoring, and lifetime value predictions
Expertise in applied forecasting, time-series analysis, anomaly detection, and non-stationary data planning
Practical skills in building optimization engines for marketing spend and inventory management
Causal inference experience covering quasi-experiments and difference-in-differences methodologies

Skills and Tools

Python
SQL
pandas
NumPy
scikit-learn
PyTorch
XGBoost
LightGBM
AWS
GCP
CI/CD
MLOps

Salary and Benefits

Salary range between $190,000 and $230,000 with equity compensation included
Unlimited paid time off, company holidays, and quarterly mental health days
Comprehensive medical, dental, and vision health benefits plus parental leave
Employee Stock Purchase Program and 401k benefits with employer matching contributions
Regular offsite team retreats

About the Company

Hims & Hers functions as a public health and wellness platform traded on the NYSE under the ticker symbol HIMS. The organization focuses on personalizing healthcare solutions, normalizing wellness challenges, and maintaining a talent-first flexible remote work environment.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

What is the salary and equity for the Staff Data Scientist role?

The position offers a salary between $190K and $230K alongside equity compensation.

Where is the job located?

The position is fully remote within the United States with a flexible work approach.

How many years of experience are required?

Candidates must have at least 8 years of experience in data science or machine learning engineering.

What educational background is needed?

Applicants need a BS, MS, or PhD in a quantitative field such as Data Science, Statistics, Economics, Computer Science, or Applied Math, or equivalent field expertise.

What technical stack proficiency is expected?

High proficiency in Python and SQL is required, along with expertise in the Python data stack and major machine learning frameworks like PyTorch, XGBoost, or LightGBM.

Ready to apply?

The application is on the official hims-and-hers careers page.

Apply on company site