Data Scientist-Portal Services (Bangalore, IN) chez sma.com: mathematical models

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.