Sr Analytics Engineer
GE Vernova (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy Python-based analytics solutions using operational, sensor, and event data from combined cycle power plants to identify equipment anomalies and improve reliability.
- Build and maintain scalable batch and near-real-time analytics pipelines, applying statistical, time-series, machine learning, and AI techniques for diagnostics and predictive maintenance.
- Create and iterate dashboards and interactive tools that enable engineering teams to investigate equipment behavior, troubleshoot issues, and improve product design.
Minimum Requirements
- Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, Mathematics, Data Science, or related field.
- 5-8 years of relevant experience in analytics, data science, software development, or related technical role.
- Proficient in Python programming, familiar with libraries like Pandas, NumPy, SciPy, scikit-learn, Pytorch, Tensorflow.
- Experience with production-quality analytics workflows including MLOps, CI-CD pipelines, and dashboard or analytics application development.
Ideal Candidate Profile
- Able to translate complex engineering problems into practical, interpretable analytics solutions that deliver measurable reliability or performance improvements.
- Experience working with large, complex, noisy industrial datasets, especially sensor, IoT, or operational data.
- Skilled at building maintainable, user-focused solutions and collaborating effectively with engineering stakeholders to align technical outputs with business needs.