[Hiring] Senior Manager, Data Science @Hims & Hers

Role Description

As the Senior Manager, Data Science leading our UK team, you will be one of the earliest members of Hims & Hers' data science function in the UK, joining as we stand up the team alongside the company's new technology hub there. You will help shape how the UK team works and grows from this early stage, without a long-established structure to inherit.

You are equal parts technical leader and people leader:

• Set the roadmap for what your UK team builds and in what order.
• Unblock technical decisions when the path forward is unclear.
• Develop your reports into stronger technical leaders themselves.

You will report to the Director of Data Science (based in the US) and operate as one team with our US-based data scientists, not a separate satellite. This means real day-to-day collaboration across the Atlantic:

• Shared standards.
• A shared roadmap.
• Enough overlap in working hours to pair on hard problems.

You will work closely with the Director to figure out how to best organize a team split across two countries, from how work gets divided to how the team is structured, so that it delivers the most impact to the business rather than just replicating a US structure overseas. You will partner directly with Finance, Marketing, and Operations leadership to translate business priorities into a team roadmap, then make sure that roadmap actually ships.

Responsibilities

• Help Establish the UK Team:
  • Shape the working norms, technical culture, and onboarding experience for the data scientists who join after you.
• Lead as One Distributed Team:
  • Operate the UK team as a single function with the US-based data science org, keeping standards, context, and priorities consistent across the time zone gap.
• Shape the Roadmap:
  • Partner with the Director of Data Science and the US team to prioritize competing requests from Marketing, Operations, Product, and Finance into a shared roadmap.
  • Help make the tradeoff calls for what the UK team builds and when.
• Stay Technically Close:
  • Review designs and code at a level of depth that lets you catch bad technical decisions early.
• Unblock Ambiguity:
  • Step into the highest-ambiguity problems on the team's roadmap when your team needs a second set of hands or a tie-breaking technical call.
• Set the Technical Bar:
  • Establish and enforce the standards (code review, documentation, model monitoring, experimentation rigor) your team builds against.
• Own Delivery:
  • Take accountability for whether your team's 0-to-1 builds actually ship, work reliably in production, and deliver the business outcome they were built for.

Qualifications

• 8+ years of experience in Data Science or ML Engineering, including 2+ years directly managing data scientists or ML engineers.
• Track record of joining or helping shape a brand-new team, office, or region from an early stage.
• Experience working on or leading a team split across countries or significant time zones.
• Track record of developing and retaining data science talent.
• Strong enough in Python, SQL, and applied ML to review your team's technical decisions.
• Demonstrated ability to help sequence a roadmap across competing stakeholder demands.
• Comfortable translating technical work into a narrative for senior leadership and non-technical stakeholders.
• Familiarity with production ML systems sufficient to hold your team to a real production bar.
• BS, MS, or PhD in a quantitative field or equivalent experience.

Preferred Qualifications

• Direct experience working across a US/UK (or similar transatlantic) split team.
• Experience leading or reviewing work in:
  • Customer Behavior & Propensity Modeling.
  • Applied Forecasting.
  • Optimization.
  • Marketing Measurement.
• Healthcare, DTC/subscription, or pharma background is a plus.