Title: Data Scientist-Portal Services
Bangalore, KA, 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 enjoy transforming data into intelligent solutions that make a real impact? Join our Portal Services team as a Data Scientist and play a key role in developing advanced analytical and optimization models that enhance energy management and digital efficiency.
You will work on data-driven optimization, forecasting, and cloud-based analytics, collaborating with cross-functional experts to deliver robust, scalable, and high-performing solutions. If you are passionate about combining mathematics, technology, and real-world applications—this is the perfect opportunity for you.
Key Responsibilities
• Develop and Implement Optimization Models
Design, develop, and maintain advanced optimization algorithms to improve energy management and operational efficiency, using methods such as mathematical programming (MILP).
• Analyze and Interpret Complex Datasets
Work with large and diverse data sources to extract meaningful insights, support model calibration, and guide decision-making through data visualization and statistical evaluation.
• Integrate Data Science Solutions into Production
Collaborate with software engineers, cloud architects, and domain experts to embed models into scalable cloud environments, ensuring stability and performance.
• Enhance Automation and Model Performance
Continuously monitor, evaluate, and optimize the performance of deployed models while ensuring maintainability and transparency.
• Collaborate in Cross-functional, Agile Teams
Work in an agile, collaborative environment, contributing your data science expertise to strategic projects and supporting knowledge sharing across teams.
Requirements
• Strong experience of 10 years plus in Python and libraries such as pandas, NumPy, scikit-learn, or Pyomo for data analysis and modeling.
• Solid understanding of optimization techniques, particularly mixed-integer linear programming (MILP) or related methods.
• Hands-on experience working in cloud platforms (e.g., AWS, Azure, or GCP) and with scalable deployment pipelines.
• Familiarity with data exploration, processing, and visualization tools to derive actionable business insights.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field.
Preferred Qualifications
• Knowledge of forecasting, time series analysis, and energy systems optimization.
• Understanding of data engineering pipelines, MLOps, and model lifecycle management.
• Prior experience deploying data science models into production environments.
• Excellent analytical and communication skills, with a structured and proactive approach to work.
• Fluent in English; other language skills are an advantage.
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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. |
