Data Scientist

Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company's purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable.

Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2024, which ended on September 30, 2024, the Siemens Group generated revenue of €75.9 billion and net income of €9.0 billion. As of September 30, 2024, the company employed around 312,000 people worldwide on the basis of continuing operations.

1. Collaborating with stakeholders to understand business objectives and develop data science strategies aligned with those objectives.
2. Conduct exploratory data analysis (EDA) and statistical analysis to uncover trends and relationships in data.
3. Develop predictive and prescriptive models utilizing statistical methodologies and machine learning algorithms.
4. Collaborate with cross-functional teams (i.e. AI Engineer and Solution Architect) to integrate models into business processes.
5. Stay current with industry trends and emerging data science methodologies.
6. Document methodologies, processes, and findings thoroughly for future reference.

1. Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a related field.
2. Proven experience in data analysis and machine learning, with a portfolio of completed projects.
3. Advanced Python programming skills for automation and tool development.
4. Familiarity with MLOps practices and tools.
5. Exposure to the engineering domain is preferred.
6. Experience with data visualization tools (e.g., Tableau, Power BI).
7. Strong analytical mindset and problem-solving skills.
8. Excellent communication and collaboration skills.