Advanced Data Scientist

Responsibilities

• Lead the end-to-end delivery of AI/ML solutions, including scoping, modeling, evaluation, deployment, and monitoring.
• Research, develop, and deliver data science tools, models, or software to solve complex business problems in the oil and gas industry.
• Develop GenAI/NLP applications, time-series models, computer vision, and commercial analytics models.
• Build production-ready solutions by applying MLOps best practices such as MLflow, CI/CD, and data quality monitoring.
• Collaborate with global teams of data scientists, engineers, and business representatives to provide actionable insights and optimized recommendations.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, IT, Engineering, Applied Math, or a related quantitative discipline.
• 5+ years of experience in developing, delivering, and validating production-ready AI/ML solutions.
• Proficiency in Python or R, and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
• Expertise in one or more areas: Time Series Analysis, Computer Vision, Natural Language Processing, Generative AI, or Commercial Analytics.
• Strong understanding of statistical analysis (regression, Bayesian techniques) and machine learning (deep learning, ensemble methods).
• Experience with software engineering practices, agile methodologies, and version control using Git.

Preferred Qualifications

• Prior experience in the oil and gas industry, supply chain, or subsurface domains.
• Experience working with Azure Databricks or similar data science frameworks.
• Knowledge of mathematical modeling, physics-based simulators, and scientific computing.

About the Company

ExxonMobil is one of the world’s largest publicly traded energy and chemical companies. Our vision is to lead in energy innovations that advance modern living and a net-zero future, creating sustainable solutions that improve quality of life and meet society’s evolving needs.