GE Vernova
Bengaluru, Karnataka, India Posted 5d ago
The Data Scientist executes end-to-end Data Science and Machine Learning workflows under guidance to deliver measurable value in industrial operations at GE Vernova. You will focus on data acquisition and cleaning, feature engineering, exploratory analysis, and model development to support industrial use cases.
Key Responsibilities
Execute DS/ML tasks across the model lifecycle including data acquisition, quality assessment, feature engineering, and exploratory data analysis on industrial datasets.
Train, tune, and validate models such as regression, classification, time-series methods, and anomaly detection while documenting experiments clearly.
Collaborate with data and platform engineering to contribute to data pipelines, model serving, and deployment activities under supervision.
Produce clean and well-structured Python and SQL code following version control and experiment tracking practices.
Create visual analyses and concise summaries to communicate findings and recommendations to teammates and stakeholders.
Assist in measuring outcomes against success metrics and maintain project reports and annotated code.
Learn industrial context and data sources to proactively identify data quality issues and propose fixes.
Participate in proofs of concept including GenAI and LLM-assisted analytics workflows as an added advantage.
Requirements
Bachelor's Degree in Computer Science or STEM Majors.
Minimum 3 years of experience in Data Science, Machine Learning, or closely related roles.
Proficient in Python and SQL with hands-on experience using Pandas, NumPy, and scikit-learn.
Applied experience with feature engineering, model selection, cross-validation, and performance measurement.
Solid foundations in data management including ETL basics and data quality checks.
Preferred Qualifications
Basic exposure to TensorFlow or PyTorch.
Familiarity with cloud ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI.
Exposure to industrial operations in Oil and Gas, Fossil Power, or Renewable Power.
