Job
In this role, you will lead the strategic and operational direction of the Data Science department, developing innovative AI solutions for autonomous systems while managing international teams and identifying new business opportunities.
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Your role in the team
- Strategic and operational leadership of the Data Science & Machine Learning department.
- Responsibility for revenue, profit, budget, and sustainable growth.
- Further development of the technology portfolio, focusing on AI, machine learning, autonomous driving, and physical AI.
- Development of innovative AI solutions for intelligent and autonomous systems—from data processing, training, and simulation to integration into real-world systems.
- Identifying new business areas and acquiring strategic client projects.
- Developing existing customer relationships and working closely with Sales and technical teams.
- Professional and disciplinary leadership and development of employees and international teams.
Our expectations of you
Education
- Completed degree in computer science, data science, robotics, electrical engineering, or a comparable field.
Qualifications
- In-depth knowledge of machine learning, deep learning, computer vision, and ideally generative AI.
- Strong leadership and communication skills, as well as excellent German and English language skills.
Experience
- Several years of leadership and professional experience in data science, machine learning, or artificial intelligence.
- Experience with autonomous systems, autonomous driving, robotics, or Physical AI is an advantage.
- Experience in building and developing teams and organizations.
- Entrepreneurial mindset, with experience in business development and accountability for results.
What we offer
- Hybrid working from home and/or at our location in Unterschleißheim is possible.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
You are creative and passionate about bringing your ideas and skills to the table? Welcome to ARRK. We offer you perspectives, challenging work tasks, independent working as well as an open and respectful environment for all.
- 1967
- Established Company
- Onsite, Hybrid
- Industry, Production
Employer reviews
- Engineering
- 3.4
- Team culture
- 3.5
- Career growth
- 3.2
- Working conditions
- 4.2
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