12 beste Stellen als data scientist in berlin, be – aktuell auf Personalsuche

Senior Operations Research Scientist
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Deloitte GmbH —Berlin
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Idorsia Pharmaceuticals Ltd. —Berlin
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Wolt - English —Berlin
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Kuro Technology —Berlin
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Data Scientists* | Data-Driven Strategy
Valentum Engineering GmbH —Berlin
- Englisch
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data scientist jobs near berlin, be

Senior Operations Research Scientist

Lieferando -
Berlin

Jetzt bewerben

Details zur Stelle

Qualifikationen

CI/CD
Logistik
Git
OOP
Docker
APIs
Agile
Python

Vollständige Stellenbeschreibung

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

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data scientist Jobs in berlin, be

Senior Operations Research Scientist

Senior Full-Stack Developer / Data Scientist (remote-friendly)

Expert:in Multi-Sensor Fusion (d/m/w) Audio-Visual Berlin remote

Sr. Applied Scientist, Community Data & Science

Head of a Research Group (f/m/d)

(Senior) Experte HR Data Analytics (m/w/d)

Postdoctoral Scientist, Amazon Robotics R&D

Senior Scientist Chemistry

Senior Data Scientist, Consumer Core Analytics

Founding Forward Deployed Engineer

Data Scientists* | Data-Driven Strategy

(Senior) Applied Scientist, Search

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Ich möchte aktuelle Job-E-Mails für Stellen als data scientist in berlin, be erhalten

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Ready for a challenge?

About this role

These are some of the key components to the position:

What will you bring to the team?

At JET, this is how we play

Inclusion, Diversity & Belonging

What else are we delivering?

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