Location
Hladilnika, bul Cherni Vrah 51
1704 Sofia
1704 Sofia
DATA SCIENTIST (m/f/d)
Employment Area
IT - BI, AI & DataLevel
Experienced professionalsWorking Model
Full-timeReference ID
44258
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)