Data Scientist
GE Vernova (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Execute end-to-end data science and machine learning workflows including data acquisition, cleaning, feature engineering, exploratory analysis, model training, tuning, validation, and documentation for industrial operational datasets.
- Collaborate with data and platform engineering teams to support data pipelines, model deployment, and monitoring activities under supervision.
- Focus on use cases such as time-series forecasting, anomaly detection, and predictive maintenance, with contributions to Generative AI analytics workflows as an advantage.
Minimum Requirements
- Bachelor's degree in Computer Science or STEM field.
- Minimum 3 years of professional experience in Data Science, Machine Learning, or closely related roles.
- Proficient in Python and SQL with hands-on experience in Pandas, NumPy, and scikit-learn; experience with TensorFlow or PyTorch is a plus.
- Relocation assistance provided; no strict location or onsite requirement explicitly mentioned.
Ideal Candidate Profile
- Experience working with industrial datasets, preferably from Oil & Gas, Fossil Power, or Renewable Power sectors.
- Solid understanding of time-series modeling, classification/regression techniques, and model validation, including business and operational KPIs linkage.
- Competence in producing reproducible workflows, clean code, and clear communication of complex analytical insights to technical and non-technical stakeholders.