USD per year
Hungry for a challenge? That’s good, because at Just Eat Takeaway.com (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers.
The Opportunity
As a Senior Operations Research (OR) Scientist, you will play a pivotal role in designing an optimization 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 optimization models, utilizing techniques like mixed-integer programming (MIP), constraint programming, stochastic programming, metaheuristics, etc. and launch them into production to control operational decisions at scale. You will collaborate with Data Scientists to create hybrid systems where Machine Learning guides optimization constraints and objective functions. You will help bridge the gap between prediction and control, working with engineers to define the simulation and experimental environments needed to validate these systems. In this senior role, you’ll work closely with fellow scientists to establish and implement best practices, share constructive feedback, and mentor junior team members. Staying at the forefront of OR advancements, you’ll explore new algorithms, architectures, and methodologies to enhance the performance of our products and algorithms. These are some of the key ingredients to the role:
- Advanced proficiency in designing large scale, real-time optimization systems for time critical decisions, with extensive experience applying these techniques in production environments.
- Deep expertise in exact optimization techniques (mixed-integer programming/decomposition), robust optimization (Stochastic/Worst case/Scenario based programming) and meta-heuristic methods.
- Extensive hands-on experience with commercial solvers (CPLEX/Gurobi) and open-source alternatives (HIGHS/SCIP/Google OR-Tools)
- Proficiency in Python object oriented programming, and experience with libraries such as Pyomo, PuLP, or GurobiPy.
- Hands-on experience in setting up simulations for model validation and data generation.
- Proven experience in getting models to production, scaling, and maintaining them for long-term success.
- Strong understanding of software development best practices, including testing, git, code reviews, and model lifecycle management.
- Working with Docker containers to support reproducible and scalable environments.
- Experience with real time systems and stream processing is desirable.
- Basic understanding of machine learning is required.
- Familiarity with Control Theory concepts (feedback loops, PID, or MPC) to manage dynamic supply/demand signals is beneficial.
- Experience in the logistics domain is also beneficial.
What will you bring to the table?
- Systems Thinking: You intuitively understand feedback loops and second-order effects in complex networks.
- Leadership and mentorship skills, with the ability to guide and develop junior data scientists and foster team collaboration.
- A holistic project approach, from generating business cases to managing the full lifecycle of models.
- Ability to generate innovative ideas, test hypotheses rigorously, and pitch business cases to stakeholders.
- Critical analysis of approaches, assumptions, and business impact, with the ability to challenge and refine strategies for optimal results.
- Preference for simple, scalable,
and effective solutions particularly in complex projects.
- Expertise in agile environments with strong collaborative skills particularly in cross-functional teams.
- Excellent communication skills including ability to present complex data insights & OR concepts to wide range of stakeholders both technical & nontechnical.
At JET this is on the menu: Our teams forge connections internally & work with some of best-known brands on planet giving us truly international impact dynamic environment. Fun fast-paced supportive JET culture about movement growth celebrating every aspect our JETers Thanks them stay one step ahead 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 creating inclusive culture encouraging diversity people thinking which all employees feel truly belong bring most colourful selves work every day. What else cooking? Want know more about our JETers culture company Have look career site where find people’s stories blogs podcasts more JET morsels. Are you ready take your seat? Apply now! #LI-CB2
Nextmv is a DecisionOps platform that accelerates decision intelligence by providing a speed, trust, and innovation layer for optimization, simulation, rules engine, and heuristic decision applications. It offers a DecisionOps workflow for efficient model validation and management, a model marketplace for specific use cases, and connections into a vast decision technology ecosystem. Nextmv unifies, manages, and operationalizes all decision models in one place from prototype to production. It helps teams launch faster, validate models confidently, maintain a system of record for decision models, and integrate with existing tools. Target users include operations researchers, data scientists, software developers, infrastructure engineers, and business stakeholders.
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