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Salary
≈ $68k – $136k per year (Estimated)
Location
In office (Berlin, Germany, Amsterdam)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
Just Eat Takeaway.com is a food delivery company founded in the Netherlands in 2000 as Thuisbezorgd. It runs ordering platforms and delivery logistics across Europe, North America and Israel. The group builds its own marketplace, dispatch and restaurant technology from Amsterdam.

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience.

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

As the Data Science Manager for Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations.

This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team.

Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions.

These are some of the key components to the position:

  • Team Leadership: Manage, mentor, and coach a high-performing team of Data Scientists to foster a collaborative and results-driven culture.
  • Strategic Alignment: Define logistics estimation solutions aligned with business goals, partnering with Product Management to prioritize initiatives.
  • Cross-functional Collaboration: Manage dependencies and collaborate closely with Machine Learning and Backend Engineers for effective ETA implementation.
  • KPI Ownership: Take ownership of logistics KPIs, specifically focusing on improving overall ETA accuracy throughout the customer journey.
  • Root Cause Analysis: Lead deep-dive analysis into ETA model accuracy gaps to diagnose and address operational friction points.
  • Strategic Planning: Translate analysis findings into actionable plans and conceptual designs for new features or model improvements.
  • Stakeholder Communication: Act as the primary interface, translating complex data and ML concepts into clear business insights for non-technical stakeholders.
  • Conceptual Design: Lead the conceptual design and validation strategy for new predictive features and models.
  • Technical Guidance: Act as the senior technical expert, overseeing architectural decisions and maintaining high quality through design discussions and reviews.
  • Deployment Partnership: Partner with Machine Learning Engineers to transition robust designs and algorithmic logic into production.

What will you bring to the team?

  • A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
  • Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists.
  • Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. This experience is crucial for providing effective strategic and architectural guidance.
  • Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus.
  • Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions.
  • Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring.
  • Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders.

At JET, this is how we play

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side.

At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else are we delivering?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.

#LI-RB1

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