Senior Data Scientist

Posted Yesterday
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Marketing Tech • Software
The Role
Lead development of production-grade ML and optimization solutions for logistics: design algorithmic policies, build simulation engines, deploy and run A/B experiments, and integrate complex models into real-time systems while mentoring junior data scientists and driving technical strategy.
Summary Generated by Built In
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 

Logistics is the engine room of that platform. Every order depends on a web of real-time decisions - matching couriers to deliveries, predicting arrival times, balancing supply and demand, and pricing a marketplace that never stops moving. Data science sits at the heart of these decisions, and the quality of our models directly shapes courier earnings, customer experience, and the unit economics of the business. 

As Senior Data Scientist for Logistics, you will take complete technical ownership of building robust, well-engineered, data-driven solutions to exactly these problems. You will drive the vision and execution of data science for your vertical—setting the technical strategy, raising the engineering bar, and directly guiding hard modeling and architectural decisions. Your remit is both deep and broad: you will personally translate our toughest logistics challenges into sophisticated modeling strategies, write clean, production-grade code, and deliver scalable solutions that directly move the metrics that matter.

These are some of the key components to the position: 
  • Move beyond static business rules to engineer intelligent, automated systems capable of making high-stakes operational choices under intense real-time uncertainty.
  • Take complete ownership of the algorithmic policies governing critical logistics inflection points, specifically optimizing order preparation triggers and courier dispatch timing.
  • Develop machine learning and optimization frameworks designed to mathematically balance conflicting business metrics (e.g., minimizing courier idle time vs. preventing order quality degradation).
  • Build models that account for cause-and-effect relationships, allowing the platform to identify and adjust for non-compliant partner behaviors and system feedback loops.
  • Construct robust, scenario-based simulation engines to stress-test hypotheses and validate algorithmic performance under volatile conditions before production deployment.
  • Drive the entire project pipeline from initial conceptualization and mathematical modeling to live production deployment and continuous A/B experimentation.
  • Partner closely with Machine Learning and Software Engineers to safely integrate complex, CPU-bound models into our real-time production logistics stack. 
    What will you bring to the team?
    • Advanced proficiency in machine learning methodologies, with extensive experience deploying and managing the full lifecycle of models in production.
    • Proven experience solving Sequential Decision Making problems in domains such as capacity management, dynamic pricing, inventory control, robotics, recommendation systems, or a wider domain
    • Deep proficiency in at least one of the following areas, alongside a solid conceptual understanding of the others: Markov Decision Processes, Stochastic Optimization, Reinforcement Learning, or Causal Inference.
    • Strong Python skills for production-grade code, proficiency in SQL, and solid software best practices (testing, git, code reviews). Experience with feature computation pipelines like Apache Flink is a plus.
    • Ability to intuitively understand feedback loops and inter-domain effects in complex networks. You prioritize simple, scalable, and effective solutions for complex projects.
    • Strong leadership skills to guide, mentor, and develop junior data scientists. You excel at fostering team collaboration and a supportive engineering culture.
    • A holistic approach to project management that bridges operational needs with technical execution. You confidently manage data science solutions from ideation through the full model lifecycle.
    • Ability to generate innovative ideas and test hypotheses rigorously. You critically analyse approaches, assumptions, and business impact to refine strategies for optimal results.
    • Strong expertise working within Agile environments to deliver results. You collaborate seamlessly across diverse, cross-functional teams.
    • Excellent communication skills to translate complex data insights and data science concepts clearly. You can effectively present and tailor your message to both technical and non-technical stakeholders.
    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.

    Skills Required

    • Advanced proficiency in machine learning methodologies and extensive experience deploying and managing full model lifecycles in production.
    • Proven experience solving Sequential Decision Making problems (capacity management, dynamic pricing, inventory control, robotics, recommendation systems, etc.).
    • Deep proficiency in at least one: Markov Decision Processes, Stochastic Optimization, Reinforcement Learning, or Causal Inference.
    • Strong Python skills for production-grade code.
    • Proficiency in SQL.
    • Solid software engineering best practices (testing, git, code reviews).
    • Experience building scenario-based simulation engines and running rigorous A/B experimentation.
    • Experience integrating complex, CPU-bound models into real-time production logistics stacks alongside ML and Software Engineers.
    • Leadership and mentoring experience guiding junior data scientists and fostering collaborative engineering culture.
    • Experience working within Agile environments and delivering cross-functional projects.
    • Experience with feature computation pipelines like Apache Flink.
    • Excellent communication skills to convey complex data science concepts to technical and non-technical stakeholders.
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    The Company
    HQ: Amsterdam
    15,313 Employees

    What We Do

    Just Eat Take​away​.com is a lead­ing glob­al online food deliv­ery mar­ket­place, con­nect­ing con­sumers and restau­rants through our plat­form in 20 coun­tries. Like a dinner table, working at JET brings our office employees and couriers together. From coding to customer service to couriers, JET is a fun, fast-paced and supportive place where you can be yourself. No day is the same. Our days are filled with new experiences. We see every challenge that comes our way as a chance to grow, both the business, and ourselves. We’re connected to millions of food-lovers, hundreds of thousands of connected partners and some of the best-known brands of the planet. When you take your seat here, you’ll find that a simple scribble on a napkin can turn into something seen by millions. Together we transform, create, reinvent and empower every food moment. As a leading online food tech company, JET brings together the stability of a global business, with the agility of a start-up. We got here by always staying one step ahead of the competition. So load up your plate with ideas that get you excited, because at JET everything is on the table. https://careers.justeattakeaway.com

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