Data Scientist - Financial Forecasting (f/m/x)
München
ZEISS Group
ZEISS is an international leading technology enterprise operating in the optics and optoelectronics industries.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.
Join us and shape the future!
Your ZEISS Recruiting Team:
Markus Repp* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Computer Science Data Analytics DevOps Economics Finance Git Machine Learning Mathematics MLFlow ML models PhD Python
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