Data Scientist- Machine Learning at SMA Solar Technology AG

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Anomaly Detection, Time Series Analysis, Predictive Modeling, Data Preparation, Data Visualization, Cloud Platforms, Data Wrangling, Feature Engineering, Statistics, CI/CD Pipelines, MLOps, Communication, Problem Solving, Energy Systems

Industry

Renewable Energy Semiconductor Manufacturing

Description

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 ModelsDesign, build, and deploy machine learning models for anomaly detection, prediction, and performance optimization across complex energy systems. • Analyze and Interpret Large DatasetsExplore vast amounts of operational and sensor data to uncover trends, detect anomalies, and generate actionable insights. • Data Preparation and VisualizationClean, preprocess, and visualize time-series and event data to support effective model development and result interpretation. • Integrate Models into Production SystemsCollaborate with software engineers and cloud experts to deploy and monitor data science solutions in scalable, production-grade environments. • Drive Innovation and Model ExplainabilityContinuously enhance model transparency, interpretability, and performance through advanced algorithms, monitoring, and experimentation. Requirements • Experience of 10 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. #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.

Responsibilities

Develop advanced machine learning models for anomaly detection and performance optimization in energy systems. Collaborate with engineers to integrate models into production systems and drive innovation in model explainability.