Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group of more than 30 countries in Europe and the US. Our vision is to be the leading ecosystem for a better life. We built the European sovereign cloud STACKIT. With XM Cyber we set new standards in differing cyber crimes. We run AI better than anyone. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We exist to improve life with our products and services - for today's generation and future generations. We act future proof!

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)

Additional information:

Your application will be reviewed in strict confidentiality. Only the approved candidates will be invited to an interview. Providing your personal data you explicitly agree that it will be processed for the purpose of recruiting and for the purpose of possible signing of a labour contract and will be stored and operated by “Schwarz Global Services” EOOD and “Lidl Bulgaria EOOD and Co” KD in their capacity of personal data controller and personal data processor in accordance with the Bulgarian Data Protection Legislation and the General Data Protection Regulation 2016/679 (GDPR). Please have in mind that with this you give permission for your resume to be shared with other parties of the Schwarz Group.

FULLSTACK DATA SCIENTIST (m/f/d)