Data Scientist - Financial Forecasting (f/m/x)

ZEISS Group; Oberkochen; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

ZEISS Group is seeking a Data Scientist to play a crucial role in shaping the future of Data Science and contributing to digital transformation. The ideal candidate will possess a PhD or excellent university degree and experience in data modeling and machine learning. You will work closely with finance teams to develop solutions that drive informed decision-making and enhance strategic planning. This role offers opportunities for creative thinking and innovation in a supportive environment.

Qualifikationen

• At least 3+ years of professional experience in a data modeling or data science role.
• Deep understanding of machine learning algorithms and analytics.
• Familiarity with financial concepts and metrics.

Aufgaben

• Develop targeted data-driven solutions for financial forecasting and modeling.
• Collaborate with finance to create robust models enabling accurate revenue forecasts.
• Transform business needs into technical solutions.

Kenntnisse

Data Analytics

Machine Learning

Strategic Thinking

Results Orientation

Communication

Ausbildung

PhD in Natural Science, Mathematics, Computer Science, or Economics

Tools

Python

Azure Machine Learning Service

MLflow

MS Azure DevOps

Git

Jobbeschreibung

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ZEISS Group

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EU work permit required:

Yes

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Job Reference:

7798db1ed3d9

Job Views:

2

Posted:

21.06.2025

Expiry Date:

05.08.2025

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Job Description:

Your role

You will play a crucial role in shaping the future of Data Science and actively contribute to the success of the digital transformation at ZEISS. As part of our rapidly growing Enterprise Data & Analytics organization within the Data Science team, you develop targeted data-driven solutions with a focus on financial forecasting and modelling. In close collaboration with colleagues from finance and controlling departments, you explore internal and external datasets to develop robust models and algorithms that drive accurate revenue forecasts, enabling informed decision-making and strategic planning. You will transform business needs into technical solutions, from early explorative analyses to fully functional and operational solutions. You will actively contribute to the exchange of knowledge within the team and the ZEISS machine learning community.

Your profile

An excellent university degree (PhD is a plus) in natural science, mathematics, computer science, economics or similar

At least 3+ years of professional experience in a data modeling, algorithm development or data science role

A deep understanding of data analytics and machine learning and their underlying algorithms

Experiences with best practices in model development and deployment (Azure Machine Learning Service/ MLflow)

A background in software development (Python, git, MS Azure DevOps) and familiarity with agile methods

Familiarity with financial concepts and metrics, including revenue recognition, profitability analysis, and financial statements

The ability to understand customer needs and solve real-world problems and to prepare, communicate and discuss complex technical facts to non-technical stakeholders

Pronounced results orientation and strong strategic and conceptual skills

Fluent English and advanced German language skills

At ZEISS we encourage creative thinking and innovation. We work in dynamic and interdisciplinary teams and offer individual development perspectives as well as flexibility in organizing your work. We care about our employees and take responsibility for improving society and preserving our environment. These core values have shaped our corporate culture at ZEISS for over 170 years.