Senior Data Science Manager, Central Data Products

As the Senior Data Science Manager of Central Data Products, you will lead the vision, strategy, and execution of a portfolio of data and ML products used across the company. Your team is senior and cross-functional (Data Scientists, MLOps Engineers, and a Product Manager), and its output is measured in company-level business impact, not in models shipped.

Your mission

• Lead all hiring and performance management processes for your team, helping Data Scientists and MLOps Engineers reach their full potential in a domain that mixes classical ML, LLMs, and production data infrastructure.
• Drive high-impact outcomes by managing the team's roadmap and portfolio allocation across a diverse set of horizontal data products, making explicit trade-offs between exploration, productionalization, and ongoing operations.
• Find and deliver solutions to complex technical challenges that span multiple services and business domains, from marketplace tagging quality to predictive customer models.
• Own adoption, not just delivery. Horizontal data products only create value when clusters build on them, so you will drive operationalization together with Growth, Supply, and Consumer stakeholders.
• Raise the operational bar for data products in production: quality baselines, LLM-as-judge and golden dataset monitoring, incident management, and reliable at-scale pipelines.
• Build strategic partnerships with senior stakeholders across Product, Engineering, Marketing, and Sales, aligning ownership of shared systems from day one.

Your toolkit

• You have a strong sense of ownership, ensuring technical and product plans are aligned with your stakeholders, your team, and organizational and company goals.
• You approach ambiguous, broadly scoped problems with an open mind and a bias toward a directional first version over extended discovery.
• You bring a strong technical background in machine learning and engineering, enabling you to evaluate decisions on modeling approaches, data architecture, evaluation methods, and production pipelines.
• You actively lead and contribute to technical, design, and product discussions within your team's domain, balancing exploration speed with production reliability.
• You are passionate about building and developing a high-performing team: mentoring, coaching, and empowering senior individual contributors to do the best work of their careers.
• You translate technical results into business decisions and can hold your own with commercial stakeholders on impact, trade-offs, and prioritization.
• You have excellent written and verbal communication skills in English.

Extras that give you an edge

• Experience leading teams that own horizontal or platform-like data products serving multiple internal customers, where adoption is as hard as the build.
• Experience running ML or data products in production, including quality monitoring, evaluation systems, and incident management.
• Experience applying LLMs to large-scale classification, extraction, or tagging problems, and knowing when a classical model is the better answer.
• Experience in marketplace, e-commerce, or travel domains.
• Experience in a high-growth environment, taking projects from zero to one and scaling them across an organization.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘ how we hire ’ and ‘ life at GetYourGuide ’. If you have any further questions, please don’t hesitate to get in touch at .

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

#LI-Hybrid

Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung