[All remote jobs](https://jobicy.com/jobs.md)[![hims & hers logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2023/11/e7b9b920-221.jpeg)](https://jobicy.com/company/hims-hers.md)[hims & hers](https://jobicy.com/company/hims-hers.md) # Sr. Manager, Data Science Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/hims-hers.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md)SalaryEUR 100k–130k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished18 Oct 2026Apply before17 Nov 2026Listing views59Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Hims & Hers is hiring a Senior Manager, Data Science to establish and lead an early-stage UK data science team while operating closely with the US organization. The role combines people leadership, roadmap ownership, technical review, and delivery accountability for production data science and machine learning initiatives. The manager will partner with Finance, Marketing, Operations, and Product stakeholders to prioritize work involving forecasting, causal methods, customer modeling, optimization, and marketing measurement. Success requires strong Python, SQL, applied ML, MLOps, executive communication, and experience leading distributed teams across time zones. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior leadership role requiring both deep technical judgment and the ability to build a new regional team and operating model. It involves high-stakes prioritization across multiple business functions and close coordination between UK and US teams. ## Salary analysis Estimated compensation compared with the broader EU market for similar roles. Estimated job median (per year)Market rate€115,000EU market range (per year)€95k–€140k0€154k AI insightThe employer discloses a yearly salary range of EUR 100,000–130,000, with a midpoint of EUR 115,000. For a senior data science manager in the European market, an estimated annual market range is EUR 95,000–140,000; actual pay may vary by UK location, management scope, and total compensation structure. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data Science Leadership](https://jobicy.com/jobs?search_keywords=Data%20Science%20Leadership.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[People Management](https://jobicy.com/jobs?search_keywords=People%20Management.md)[Roadmap Prioritization](https://jobicy.com/jobs?search_keywords=Roadmap%20Prioritization.md)[Forecasting](https://jobicy.com/jobs?search_keywords=Forecasting.md)[Causal Inference](https://jobicy.com/jobs?search_keywords=Causal%20Inference.md)[Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Model Monitoring](https://jobicy.com/jobs?search_keywords=Model%20Monitoring.md)[Marketing Measurement](https://jobicy.com/jobs?search_keywords=Marketing%20Measurement.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md)[Executive Communication](https://jobicy.com/jobs?search_keywords=Executive%20Communication.md)[Distributed Team Leadership](https://jobicy.com/jobs?search_keywords=Distributed%20Team%20Leadership.md) Sample interview questionsHow would you establish a new UK data science team while keeping it integrated with a US-based organization?I would begin by aligning on a shared roadmap, technical standards, decision rights, and communication rituals with US leadership. I would create deliberate overlap for technical design reviews and planning, while documenting decisions and using asynchronous workflows to reduce time-zone friction. Early hiring, onboarding, and performance expectations would be consistent across both locations. Describe how you prioritize competing requests from Marketing, Finance, Operations, and Product when team capacity is limited. I evaluate requests using expected business impact, confidence in the opportunity, urgency, implementation effort, dependencies, and the cost of delay. I make tradeoffs transparent through a shared roadmap and communicate what will not be done yet, why, and what evidence could change the priority. This allows stakeholders to participate in decisions without diluting accountability. What does production-quality machine learning look like to you? Production-quality ML starts with a clear decision use case and measurable business outcome, then includes reliable data pipelines, versioned code and models, testing, deployment controls, monitoring for performance and drift, and documented ownership. I also expect evaluation to include operational reliability, fairness where relevant, and a process for retraining or retiring models. How would you assess whether a marketing intervention truly caused improved customer outcomes? I would prefer a randomized controlled experiment when feasible, with clear treatment assignment, success metrics, guardrails, and sufficient power. If experimentation is not possible, I would use a carefully designed quasi-experimental approach such as difference-in-differences, matching, or uplift modeling, while clearly communicating assumptions and limitations. How do you develop data scientists into stronger technical leaders? I set clear expectations, provide regular feedback, and assign progressively broader ownership of technical designs, stakeholder communication, and delivery outcomes. I use design reviews and post-launch retrospectives as coaching opportunities, while creating space for individuals to make decisions and learn from them. Development plans should connect each person's strengths and ambitions to tangible team needs. Opportunity details ## About this role. Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit [hims.com/about](http://hims.com/about) and [hims.com/how-it-works](http://hims.com/how-it-works) . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit [www.hims.com/careers-professionals](http://www.hims.com/careers-professionals). ### About the Role: 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: you set the roadmap for what your UK team builds and in what order, unblock technical decisions when the path forward is unclear, and 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. That means real day-to-day collaboration across the Atlantic: shared standards, a shared roadmap, and 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. ### You Will: * Help Establish the UK Team: As one of the earliest members of the UK team, help 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, not a separate silo, 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, and 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, even though you are not the one writing production code day to day. * 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, consistent with the US team and in partnership with Staff-level ICs. * 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. ### You Have: * 8+ years of experience in Data Science or ML Engineering, including 2+ years directly managing data scientists or ML engineers. * Early-Stage Team Experience: Track record of joining or helping shape a brand-new team, office, or region from an early stage, rather than only working within an established structure. * Distributed/International Collaboration: Experience working on or leading a team split across countries or significant time zones, comfortable with the communication overhead and async workflows that requires. * Proven People Leadership: Track record of developing and retaining data science talent, including calibrating performance and managing through periods of team growth. * Technical Credibility: Strong enough in Python, SQL, and applied ML (regression/classification, time-series, causal methods) to review your team’s technical decisions and unblock them, even without writing production code daily. * Prioritization Under Constraint: Demonstrated ability to help sequence a roadmap across competing stakeholder demands with limited headcount, and to make a clear, well-reasoned case for tradeoffs even when the final call is shared with others. * Executive Communication: Comfortable translating technical work into a narrative for senior leadership and non-technical stakeholders, and negotiating scope and timeline with them directly. * Engineering Rigor: Familiarity with production ML systems (cloud environments, CI/CD, ML Ops) sufficient to hold your team to a real production bar, not just notebook-quality work. * Education: BS, MS, or PhD in a quantitative field (Statistics, Mathematics, Economics, Physics, Operations Research, etc.) or equivalent experience. We weigh hands-on empirical research experience, such as a thesis or lab-based program, over the specific field of study. ### Preferred Qualifications: * US/UK Collaboration, Specifically: Direct experience working across a US/UK (or similar transatlantic) split team, ideally within a company still establishing its presence in one of those regions. * Advanced Business ML (experience leading or reviewing work in 1-2 of the following): Customer Behavior & Propensity Modeling: churn, propensity-to-buy, lead scoring, or lifetime value (LTV) models used to drive targeted marketing and product interventions. * Applied Forecasting: time-series forecasting, anomaly detection, or demand/revenue planning under limited historical data. * Optimization: marketing spend, inventory, or resource allocation engines. * Marketing Measurement: marketing mix modeling, multi-touch attribution, or incrementality testing to measure media effectiveness and inform budget allocation across channels. * Industry Experience: healthcare, DTC/subscription, or pharma background is a plus, not a requirement. We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you’re excited about this role, we encourage you to apply—even if you’re not sure if your background or experience is a perfect match. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [accommodations@forhims.com](mailto:accommodations@forhims.com) and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our [Global Candidate Privacy Statement](https://www.hims.com/global-candidate-privacy-statement). 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