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Data Scientist & Data Analyst - Siemens Energy Global GmbH & Co. KG
Data Scientist
Combine data science and analytics to extract insights, build predictive models, and support decision‑making using Python, SQL, machine‑learning techniques, and visualisation tools.
About the role
Key Responsibilities
- Collect, clean, and transform large, heterogeneous data sets from internal and external sources.
- Develop and validate predictive and prescriptive models using machine‑learning algorithms.
- Create interactive dashboards and visualisations to communicate findings to stakeholders.
- Perform statistical analyses to identify trends, anomalies, and root causes.
- Collaborate with engineering and business teams to integrate data‑driven solutions into operational processes.
Requirements
- Strong proficiency in Python (pandas, scikit‑learn, NumPy) and SQL for data manipulation.
- Experience building and deploying machine‑learning models in production environments.
- Solid understanding of statistical methods and data‑analysis techniques.
- Ability to design clear, actionable visualisations using tools such as Power BI, Tableau, or matplotlib.
- Excellent problem‑solving skills and the ability to translate complex data insights into business recommendations.
Skills
pythonsqlmachine learning