Data Scientist- Optimization

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.
  
  

#bethechange We look forward to receiving your application.

Your contact is Anita Virnave SMA Solar India Pvt. Ltd.

∗ SMA is committed to diversity and equal opportunity - unattached of gender, age, origin, religion, disability or sexual orientation.