Data Scientist- Machine Learning (Bangalore, IN) bei sma.com: mathematical models

Description

Are you passionate about data, models, and real-world impact? Join our Data Science & Monitoring team and help shape the future of intelligent energy systems!

We design and implement data-driven solutions that make energy systems smarter, more efficient, and sustainable. You’ll work on exciting projects involving machine learning, anomaly detection, time series analysis, and predictive modeling, all within a cloud-native, collaborative, and interdisciplinary environment.

If you thrive on solving complex problems, enjoy teamwork, and want to make a tangible impact through data science—this role is for you.

Key Responsibilities

• Develop Advanced Machine Learning Models
Design, build, and deploy machine learning models for anomaly detection, prediction, and performance optimization across complex energy systems.

• Analyze and Interpret Large Datasets
Explore vast amounts of operational and sensor data to uncover trends, detect anomalies, and generate actionable insights.

• Data Preparation and Visualization
Clean, preprocess, and visualize time-series and event data to support effective model development and result interpretation.

• Integrate Models into Production Systems
Collaborate with software engineers and cloud experts to deploy and monitor data science solutions in scalable, production-grade environments.

• Drive Innovation and Model Explainability
Continuously enhance model transparency, interpretability, and performance through advanced algorithms, monitoring, and experimentation.

Requirements

• Experience of 8 years plus.

• Proficiency in Python and key data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Strong foundation in machine learning algorithms, statistics, and anomaly detection methods.
• Experience with cloud platforms (e.g., Azure, AWS, or GCP) and scalable data processing workflows.
• Skilled in data wrangling, feature engineering, and visualization tools such as Matplotlib or Plotly.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field (PhD a plus).

Desired Characteristics

• Familiarity with forecasting, time series modeling, and predictive maintenance use cases.
• Background in energy systems, operations research, or industrial analytics.
• Experience deploying data science models to production using CI/CD pipelines or MLOps tools.
• Strong analytical, communication, and problem-solving skills with a proactive mindset.
• Excellent proficiency in English; other languages are a plus.