Senior Manager, Data Science

hims & hers

. Help establish the UK data science team’s working norms, technical culture, and onboarding experience .

Posted 9/29/2026full-timeRemote • United KingdomSenior💰 €100,000 - €130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science teams, establishing technical standards, and managing stakeholder priorities. Proficient in Python, SQL, and applied machine learning methodologies, with a strong focus on team development and cross-functional collaboration.

Highest-signal resume keywords

Data Science LeadershipPython ProficiencySQL ProficiencyApplied Machine LearningTeam Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine Learning EngineeringRegression MethodsClassification MethodsTime-Series AnalysisCausal MethodsProduction ML SystemsCI/CDMLOpsQuantitative Analysis

Soft Skills

Stakeholder CommunicationTeam DevelopmentDecision MakingProblem SolvingCollaboration

Tools & Technologies

Cloud EnvironmentsModel MonitoringDocumentation StandardsExperimentation Rigor

Certifications & Qualifications

BS in Quantitative FieldMS in Quantitative FieldPhD in Quantitative Field

Industry Keywords

HealthcareDTC SubscriptionPharmaCustomer Behavior ModelingMarketing Measurement

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Help establish the UK data science team’s working norms, technical culture, and onboarding experience
Lead the UK team as one distributed function with the US-based data science organization
Partner with the Director of Data Science and US team to prioritize stakeholder requests into a shared roadmap
Make tradeoff decisions about what the UK team builds and when
Review technical designs and code to identify poor technical decisions
Unblock ambiguous technical problems and make tie-breaking technical calls
Establish and enforce standards for code review, documentation, model monitoring, and experimentation rigor
Partner with Staff-level individual contributors on technical standards
Own delivery of 0-to-1 builds, ensuring reliable production operation and business outcomes
Collaborate with Finance, Marketing, Operations, and Product leadership

Requirements

What you’ll need

8+ years of experience in Data Science or ML Engineering
2+ years directly managing data scientists or ML engineers
Experience joining or shaping a brand-new team, office, or region from an early stage
Experience working on or leading teams split across countries or significant time zones
Track record of developing and retaining data science talent, calibrating performance, and managing team growth
Strong proficiency in Python, SQL, and applied ML, including regression/classification, time-series, and causal methods
Ability to prioritize roadmaps across competing stakeholder demands and make clear tradeoff recommendations
Ability to communicate technical work to senior leadership and non-technical stakeholders
Familiarity with production ML systems, cloud environments, CI/CD, and MLOps
BS, MS, or PhD in a quantitative field or equivalent experience
Preferred: direct US/UK or transatlantic collaboration experience
Preferred: experience with customer behavior and propensity modeling, applied forecasting, optimization, or marketing measurement
Healthcare, DTC/subscription, or pharma experience is a plus, not a requirement

Benefits

Comp & perks

Equity grant may be included in the Total Rewards package
Comprehensive Total Rewards package
Flexible/remote work approach
Reasonable accommodations for qualified individuals with disabilities and disabled veterans