Lead Data Scientist - Munich, Deutschland - ZEISS Group

ZEISS Group

Geprüftes Unternehmen

Munich, Deutschland

vor 1 Tag

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Your Role- Technical Leadership and responsibility for machine learning development- Development and (re)-training/optimization of algorithms and AI software components as well as their integration into digital products.- Testing of algorithms and AI software components (unit test, end-to-end test, performance test, non-regression test); operation and (automated) documentation of the developed components.- Presentation and illustration of results in user-friendly language; calculation and presentation of the success and profitability of the new components (monitoring of use in the field by customers).- Guidance of software developers and system integrators to set up the data acquisition, training, and processing processes (interaction of the components) in the final product.- Support in the ideation process (design thinking) for the development of the digital roadmap, especially regarding artificial intelligence.- Research on new methods in the field of artificial intelligence, exchange with internal and external experts in this field; appearance and contribution to scientific forums and conferences.- Examination of patents in the field of AI and collaboration in the generation of new patents for ZEISS.

- Active knowledge transfer through supervision, technical talks and technical guidance

Your Profile- An excellent university degree (ideally a PhD) in natural science, mathematics, computer science, engineering or similar- At least 5+ years of professional experience in a data modeling, algorithm development or data science role- At least 2+ years of experience mentoring or supervising students or young professionals- Experience in applied machine learning research (e.g.

federated learning, weakly supervised models, model robustness, etc.)- A deep understanding of applied mathematics, machine learning and their underlying concepts and algorithms- An active interest in current machine learning developments, both academic and applied- A background in software engineering (python, julia) and familiarity with agile software development (git, Azure DevOps)- The ability to understand customer needs and solve real-world problems- Strong communication, presentation and project management skills- Fluent English and advanced German language skills

Your ZEISS Recruiting Team:
Annett Burger