Advanced Data Scientist
Exxon Mobil Corporation (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of AI/ML solutions including scoping, modeling, evaluation, deployment, and monitoring within the oil and gas industry.
- Develop and deploy production-ready data science tools, models, or software including GenAI/NLP, time-series, computer vision, and commercial analytics applications.
- Apply advanced data science methodologies and MLOps best practices to generate actionable insights and optimized recommendations.
Minimum Requirements
- Master’s or Ph.D. degree in Data Science, Computer Science, IT, Chemical Engineering, Mechanical, Civil, Materials, Aerospace, Geoscience/Geophysics, Applied Math or related discipline with minimum GPA of 7.0.
- Minimum 5+ years relevant experience in developing and deploying production-ready AI/ML solutions.
- Proficiency with Python/R programming, ML frameworks (PyTorch, TensorFlow, scikit-learn), and MLOps tools (MLflow, CI/CD).
- Experience with full machine learning lifecycle and software engineering practices including agile methodologies and version control (Git).
Ideal Candidate Profile
- Experienced in applying advanced machine learning methods including deep learning, Bayesian techniques, causal inference, and statistical analysis in enterprise settings.
- Demonstrates ability to deliver AI/ML solutions across teams globally, integrating domain knowledge from oil and gas or commercial sectors (preferred but not mandatory).
- Familiar with cloud data science platforms such as Azure Databricks and with skills in mathematical modeling, physics-based simulation as added advantage.