We are seeking talented and passionate data scientists to join our growing team and revolutionize our operations research portfolio. In this role, you will be at the forefront of developing and implementing cutting-edge AI-optimization solutions to accelerate the supply chain and increase efficiency in several warehouse locations at LIDL, Kaufland and PreZero. You will have the opportunity to make a real-world impact by improving model quality, efficiency, reducing costs, and minimizing our environmental footprint.
The impact you will create:
Develop and implement optimization and AI algorithms for logistics optimization, focusing on route optimization and scheduling, maximizing recycling quotas, minimizing pallets in circulation, and optimizing resource allocation.
Develop and maintain software tools and frameworks to support training, serving and monitoring of AI models.
Collaborate with logistics and engineering teams to integrate AI solutions into existing workflows and systems.
Design and integrate testing and validation techniques to ensure the high quality and reliability of AI solutions.
Stay up-to-date with the latest advancements in AI, machine learning, and optimization techniques.
Communicate complex technical concepts and findings to both technical and non-technical audiences.
Experience and skills you will need:
Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering or a related field.
Experience in building AI solutions from data sourcing, to model training, to API model serving (MLOps).
Good command of Python and SQL is a must.
Willingness to grow your skills in the field of optimization / operations research.
Excellent problem-solving and analytical skills.
Familiarity with fundamental AI and machine learning concepts, including supervised and unsupervised learning, optimization algorithms, and deep learning.
Practical experience with building and maintaining APIs using docker, Kubernetes and Flask or FastAPI is an advantage.
Strong background in optimization techniques and operations research, such as linear programming, constraint programming and metaheuristics is an advantage (NumPy, SciPy, PuLP, and OR-Tools).
Our offer:
An attractive remuneration package depending on your seniority.
Variety of opportunities with one of the strongest and largest retail companies in the world.
A huge array of tools & technologies available on the spot and ready for a steady personal development.
Food vouchers, MultiSport card, additional health insurance, travel expenses and a modern office close to Paradise Mall.
A good work-life balance with flexible working time & options for mobile work.
A pleasant and diverse environment with regular events, team buildings and stimulating activities.
If you are interested in our offer, please send us your up to date resume in English. We want to know you!
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