Product Owner - Data Science / Machine Learning (f/m/x)

Posted 2 Days Ago
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München, Bayern
Mid level
Industrial
The Role
The Product Owner will lead and manage Machine Learning and Data Science projects in an agile environment, collaborating with cross-functional teams to assess, plan, and report on tasks and outcomes. They will facilitate communication between technical experts and different departments to ensure high-quality software products.
Summary Generated by Built In

Your Role

In cross-functional teams, you will drive & manage projects in the field of Machine Learning (ML) and Data Science. In this role, you will support the preparation and execution of Data Science / ML projects: from setting the scope to roadmap-planning, to execution in an agile manner, to lessons learned that can be integrated into new projects. As part of a vivid team, you will be in contact with users from different ZEISS departments, assess and plan Data Science- and ML-related tasks and report outcomes and results. With your organizational and project management skills, you will enable our experts to focus on technical, high-quality solutions. You will be the interface between our technical experts and different ZEISS departments to create great Software products. You will be an advocate of the work of our Data & Analytics team.

Your Profile

  • An excellent University degree (Ph.D. is a plus) in Computer Science, Engineering, Mathematics, Natural Science, or equivalent

  • The ability to understand the technical architecture of ML / Data Science solutions and State of the Art Web Apps

  • Experiences in Feature Engineering, Unsupervised & Supervised Learning, model deployment and operation in the cloud

  • A good understanding of innovative flexibility at the shell and the power of standardization at the core

  • At least 3 years of professional experience in Project Management of Machine Learning & Data Science solutions

  • Professional experience as a Product Owner

  • Experience in stakeholder management

  • Experience with cloud-deployed ML solutions for customers

  • The ability to understand customer needs and solve real-world problems

  • Strong communication, presentation, and Project Management skills

  • Basic knowledge of best practices in corporate data governance (e.g., working with confidential data)

  • Fluent English and German language skills

Your ZEISS Recruiting Team:

Markus Repp

Top Skills

Data Science
Machine Learning
The Company
HQ: Oberkochen
20,567 Employees
On-site Workplace

What We Do

ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023).

With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.

Data privacy: www.zeiss.com/data-protection
Imprint: http://zeiss.com/publisher

This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette

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