Data Science Manager

About the role

We are seeking Data Science Managers to guide analytical strategy and lead teams across our product, commercial, and operational divisions in shaping how our three-sided marketplace functions. You will balance technical leadership with business-focused decision making to ensure that data science efforts directly support marketplace health and growth. The role involves owning end-to-end analytical ownership from problem framing through to insight deployment and measuring real business impact. You will act as a bridge between deep technical work and executive stakeholders, translating complex analytical concepts into clear narratives and actions. Success in this position requires you to build trust across functions and maintain a strong bias for action in fast moving environments. You will mentor data scientists and machine learning engineers, helping them grow their technical and leadership capabilities over time. This position demands comfort with ambiguity and the ability to set direction when requirements are evolving. You will be accountable for delivering a reliable analytical foundation while enabling experimentation and learning at scale across the business.

Key facts

What you'll do

• Manage and mentor a team of data scientists or machine learning engineers, providing clear expectations, feedback, and career development.
• Direct the analytical roadmap for a specific business or product vertical, aligning data science initiatives with strategic objectives.
• Partner with product, engineering, operations, marketing, and finance departments to influence strategy and ensure analytical rigor in decision making.
• Maintain hands-on involvement in technical projects while overseeing team output, ensuring quality and methodological soundness.
• Prioritize initiatives that drive measurable improvements in areas like personalization, pricing, retention, and acquisition for the marketplace.
• Design and implement experimentation frameworks, including test design, metric selection, and interpretation of results for business stakeholders.
• Apply causal inference techniques to evaluate the impact of marketplace changes, policies, and interventions on key performance indicators.
• Build and maintain strong stakeholder relationships through clear communication, active listening, and structured problem solving.
• Translate complex analytical findings into concise narratives and actionable recommendations for non-technical audiences.
• Establish data products and dashboards that provide visibility into marketplace performance and guide ongoing optimization efforts.
• Define and track key metrics, ensuring that analytical outputs are reliable, reproducible, and aligned with business goals.
• Lead cross-functional workshops to scope problems, identify data requirements, and agree on success criteria for analytical projects.
• Identify opportunities to apply applied machine learning responsibly, considering scalability, robustness, and ethical implications.
• Drive a culture of learning by documenting insights, sharing best practices, and encouraging evidence-based decision making across teams.

Requirements

• You have prior experience in line management and professional development of data science staff, including hiring, coaching, and performance discussions.
• You come from a background as a senior individual contributor with hands-on experience in machine learning, causal inference, or experimentation.
• You can translate complex technical findings into actionable strategies for non-technical stakeholders without losing analytical depth.
• You are comfortable navigating ambiguous environments and making high-stakes prioritization decisions with incomplete information.
• You have a track record of delivering analytical projects that meaningfully impact business outcomes in a marketplace context.
• You understand how to work with large datasets and data pipelines, ensuring that analyses are based on sound data practices.
• You have experience using experimentation and causal inference to test hypotheses and inform major policy or product decisions.
• You demonstrate strong stakeholder management skills, building trust and influencing through clarity and evidence.

Skills & tools

• Experimentation
• Causal inference
• Applied machine learning
• Stakeholder management
• Strategic planning

Practical notes

You only need to submit one application for these openings. We will evaluate your profile against all available Data Science Manager vacancies and align you with a team based on your background and our business needs. Before finalizing an offer, you will meet with the specific team to discuss the role scope in detail. We offer professional development programs, mentoring, and a focus on employee wellbeing to support your growth and resilience. We provide accommodations for the interview process upon request to ensure accessibility for all candidates.