Title: Data Science- Optimization
Bangalore, IN
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ENERGY THAT CHANGES: Innovative and sustainable key technologies are prerequisites for renewable energy supply. More than 3,000 employees from 18 countries work to ensure that SMA is actively helping to promote the production and development of PV system technology worldwide. Would you like to play a part in shaping the energy supply of the future? Welcome to SMA. be energy. Your energy can thrive with us. Respond to changes in an active, bold and targeted way. be flexible. Conditions can change, so our work schedule models offer you a solution. be family. A sense of community and camaraderie is important to us. We offer work-life-balance. |
Description:
Do you want to tackle real-world challenges in the energy sector using data, algorithms, and optimization? Join our Data Science & Monitoring team, where innovation meets impact.
We design and implement data-driven optimization models that enhance energy efficiency, support intelligent decision-making, and promote sustainable operations. Working in a collaborative and interdisciplinary environment, you will contribute to cutting-edge solutions in energy optimization, forecasting, and cloud-based analytics.
If you’re passionate about using data science to make a difference, we’d love to hear from you!
Key Responsibilities
• Develop Advanced Optimization Models
Design and implement mathematical optimization models (e.g., MILP) for intelligent energy management and operational efficiency.
• Analyze and Transform Complex Datasets
Work with large-scale energy and operational data to extract insights, build predictive models, and enhance optimization accuracy.
• Collaborate Across Teams
Work closely with engineers, data scientists, and software developers to ensure seamless integration of data-driven models into cloud-based systems.
• Ensure Scalable and Reliable Solutions
Deploy models into production environments with a focus on performance, maintainability, and scalability within modern cloud ecosystems.
• Contribute to Innovation and Continuous Improvement
Participate in agile projects, contribute new ideas, and continuously improve analytical approaches, methodologies, and workflows.
Requirements
• Proven experience in Python for data analysis, modeling, and optimization.
• Strong understanding of mathematical programming techniques, particularly Mixed-Integer Linear Programming (MILP).
• Hands-on experience with cloud platforms and deployment of data-driven applications.
• Solid foundation in data exploration, preprocessing, and machine learning fundamentals.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or Operations Research (PhD a plus).
Desired Characteristics
• Knowledge of forecasting and time series modeling with a minimum experience of 8 years.
• Experience in energy systems, power optimization, or applied mathematics.
• Familiarity with data pipelines, DevOps tools, and model deployment frameworks.
• Excellent communication, analytical, and problem-solving skills.
• Fluent in English; additional languages are a plus.
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#bethechange We look forward to receiving your application. ∗ SMA is committed to diversity and equal opportunity - unattached of gender, age, origin, religion, disability or sexual orientation. |
