Senior Operations Research Scientist

Posted 17 Days Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Marketing Tech • Software
The Role
Design and deploy large-scale optimisation systems for logistics, using MIP, constraint and heuristic methods. Build production-ready Python models (Pyomo/PuLP) with commercial/open-source solvers, CI/CD, Docker, and collaborate across Data Science, Engineering and Business to scale operational decisions.
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 

As a Senior Operations Research (OR) Scientist, you will play a pivotal role in designing an optimisation system that balances the supply/demand capacity of the logistics network. You will dive deep into large-scale geospatial and real-time data to design automated decision-making systems that operate in a dynamic, real-world environment.

You will develop high-performance robust optimisation models, utilising techniques like mixed-integer programming (MIP), constraint programming, stochastic programming, metaheuristics, etc. and launch them into production to control operational decisions at scale.

These are some of the key components to the position: 
  • Advanced proficiency in designing large-scale scheduling, rostering, or shift-planning optimisation systems (or similar), with extensive experience applying these techniques in production environments.
  • Expertise in exact optimisation techniques, notably mixed-integer programming (MIP), decomposition, and capacity planning.
  • Proficiency in applying (meta) heuristic methods to efficiently find high-quality solutions when exact methods hit scaling or performance limits.
  • Extensive hands-on experience with optimisation modeling in Python using algebraic modeling languages or solver APIs (e.g., Pyomo, PuLP), as well as commercial and open-source solvers (like SCIP and Gurobi).
  • High proficiency in Python object-oriented programming, producing clean, maintainable, and type-safe code.
  • Proven experience in getting models to production, scaling, and maintaining them for long-term success.
  • Strong understanding of software development best practices, including rigorous testing, CI/CD pipelines, git workflows, and code reviews.
  • Experience working with Docker containers to support reproducible, scalable environments.
  • Experience in the logistics and last-mile delivery domain is highly beneficial.
What will you bring to the team?
  • You intuitively understand complex operational constraints, contracts, and geographic intricacies over discrete time intervals.
  • Ability to guide and develop junior scientists and foster team collaboration.
  • From running historical benchmarks to managing the full lifecycle of models in live production.
  • Ability to generate new ideas, test hypotheses rigorously using trace data, and pitch business improvements.
  • Challenging current approaches, assumptions, and business impact to refine strategies for optimal operational results.
  • Preference for simple, scalable, and effective solutions, particularly in complex projects.
  • Expertise in agile environments with strong collaborative skills, bridging the gap between Data Science, Engineering, and Business.
  • Excellent communication skills, translating complex OR concepts to technical and non-technical stakeholders alike.
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 

Skills Required

  • Advanced proficiency designing large-scale scheduling, rostering, or shift-planning optimisation systems
  • Expertise in exact optimisation techniques (mixed-integer programming, decomposition, capacity planning)
  • Proficiency applying (meta)heuristic methods for large-scale optimisation
  • Hands-on optimisation modeling in Python using algebraic modeling languages or solver APIs (e.g., Pyomo, PuLP)
  • Experience with commercial and open-source solvers (SCIP, Gurobi)
  • High proficiency in Python object-oriented programming producing clean, maintainable, type-safe code
  • Proven experience taking models to production, scaling, and long-term maintenance
  • Strong software development practices: testing, CI/CD pipelines, git workflows, code reviews
  • Experience working with Docker containers for reproducible, scalable environments
  • Experience in logistics and last-mile delivery domain
  • Ability to guide and develop junior scientists and collaborate across teams
  • Excellent communication skills translating complex OR 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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