About this role
UK Remote is the location for the Senior Manager, Data Science role at Hims & Hers, where you will help establish the new UK data science hub and collaborate closely with the US team. This position suits an experienced technical and people leader who wants to shape a growing team from an early stage while partnering with finance, marketing, and operations leadership.
Role Overview
As the Senior Manager, Data Science leading the UK team at Hims & Hers, you operate as one of the earliest members of the data science function in the UK. You report to the Director of Data Science based in the US, acting as a unified cross-Atlantic team rather than a separate silo. You balance people management with technical oversight, setting the roadmap, reviewing designs and code, and unblocking complex problems.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Hims & Hers is a public health and wellness platform traded on the NYSE under the ticker symbol HIMS. The company is redefining healthcare by providing access to affordable, accessible, and personal care from diagnosis to treatment and delivery. Hims & Hers focuses on normalizing health and wellness challenges and innovating on solutions to achieve better health outcomes.
How to Apply
To apply for this position, please visit the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of this job?
This role is UK Remote.
Who will I report to?
You will report to the Director of Data Science, who is based in the US.
What is the salary range and compensation?
The salary ranges from €100K to €130K and includes offers of equity.
How much experience is required?
You need 8+ years of experience in data science or machine learning engineering, including 2+ years of direct management experience.
What programming languages and technical skills are expected?
You must be strong in Python, SQL, and applied machine learning, with familiarity in production machine learning systems, cloud environments, CI/CD, and MLOps.
