Data Scientist

Responsibilities

• Develop, maintain, and optimize Azure-based data pipelines and automate workflows to ensure data integrity and solution reliability.
• Apply statistical analysis and machine learning to identify trends and develop predictive models for decision-making and forecasting.
• Design, build, and maintain interactive dashboards and reports using Power BI to manage the complete lifecycle of analytical applications.
• Translate complex datasets and model outputs into concise, actionable recommendations for business stakeholders.
• Research and integrate emerging data science techniques into operational performance analytics to enhance portfolio management.

Requirements

• Bachelor's or Master's degree in a quantitative field.
• 2–5 years of experience in end-to-end cloud-based data product development.
• Expertise in the Microsoft Azure environment.
• Proficiency in Python and SQL.
• Experience with machine learning, predictive modeling, and statistical analysis.
• Experience with Power BI and business intelligence solution delivery.

Benefits

• Opportunities to work with a global team on innovative projects.
• Continuous learning through the Learn@Siemens-Energy platform.
• Access to various employee resource groups.
• Additional perks that support well-being and professional growth.

About the Company

Siemens Gamesa Renewable Energy is a leading player in the wind industry and a manufacturer of wind turbines. As part of Siemens Energy, we are committed to making sustainable, reliable, and affordable energy a reality by driving the energy transition and providing innovative solutions for the global community.