Master's Thesis – Data Science

Stack

Responsibilities

• ▹Focus on one of the central Data Science team's diverse challenges, tied to real, practice-relevant use cases in operational and strategic areas
• ▹Generate insights from large datasets using data science to optimize production processes or support decision-making
• ▹Develop solutions through data analysis, modeling and visualization using common statistical and AI methods (machine learning, neural networks)
• ▹Build a sufficient data basis through data engineering, covering data integration, data processing and ETL processes on a modern cloud data platform
• ▹Programming with a focus on Python (and SQL), applying modern software development methods
• ▹Collaborate in interdisciplinary teams with experts from different fields

Requirements

• ▹Enrolled student in engineering, natural sciences, computer science or a comparable field
• ▹Successful completion of most of the degree program
• ▹Quick grasp, structured way of working and willingness for independent learning and teamwork
• ▹Strong communication and social skills
• ▹Very good knowledge of IT systems and MS Office

Nice to have

• ▹Academic focus on Data Science, Data Engineering and/or digitalization

Soft skills

What we offer

• ▹Thorough onboarding as part of an introductory internship, supported by a dedicated mentor
• ▹A close-knit company and department culture
• ▹Mobile office by arrangement
• ▹Company and sports events (e.g. internal football cup, company Christmas market, company run)
• ▹Health management program ("die fitten Füchse"): sports courses, gym subsidies, in-house physiotherapy

About the company

OTTO FUCHS is an innovative manufacturing group built on experience, knowledge and progress. Its products and solutions can be found in space travel, passenger and freight transport, high-tech mechanical engineering and modern architecture.