Data Science Manager

Takeaway.com; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

Just Eat Takeaway.com is seeking a Data Science Manager for Logistics Estimations to lead a team of senior data scientists focusing on ETA prediction and other logistics estimations. You will define solutions, collaborate with product and engineering, and drive business outcomes through actionable data science strategy.

This strategic role emphasizes coaching, roadmap alignment, and production-ready model guidance to elevate ETA accuracy across the delivery network.

Qualifications

• Master's degree or PhD in a quantitative field required.
• Proven leadership experience with mentoring Data Scientists.
• Hands-on experience building and deploying ML models in a corporate setting.
• Advanced knowledge of data science methods for logistics, ETA, routing, or geospatial problems; deep learning a plus.
• Strong root-cause analysis skills and ability to translate findings into solutions.
• Understanding of model lifecycle, testing, reviews and monitoring.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Lead and mentor a high-performing team of Data Scientists.
• Define logistics estimation solutions aligned with business goals.
• Collaborate with ML and Backend Engineers for ETA implementation.
• Own KPIs and improve ETA accuracy across the customer journey.
• Conduct deep-dive analyses to diagnose model performance gaps.
• Translate findings into actionable plans and feature designs.
• Communicate complex ML concepts to non-technical stakeholders.
• Lead conceptual design and validation of new predictive features.
• Provide technical guidance and oversee architectural decisions.
• Partner with ML Engineers to transition designs into production.

Skills

Leadership

Data Science

ML Deployment

ETA Prediction

Stakeholder Management

Education

Master's degree or PhD in Data Science/CS/Statistics

Job description

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.

• Available in 3 locations
• Full time

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.

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.