Advanced Data Scientist Job Details | ExxonMobil

About You

• Skills and

Qualifications

Expertise in one or more of the following: Time Series Analysis, Computer Vision, Natural Language Processing, Generative AI, Commercial Analytics. Master’s or Ph.D. degree from a recognized university in one of the following disciplines: Data Science, Computer Science, IT, Chemical Engineering, Mechanical, Civil, Materials, Aerospace, Geoscience/Geophysics, Applied Math or related disciplines with a minimum GPA of 7.0. 5+ years of relevant experience in developing, delivering, and validating production-ready AI/ML solutions. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, causal analysis). Practical experience in the full machine learning lifecycle from problem formulation, data acquisition, data cleaning to model building and deployment at enterprise level.Proficiency in Python or R, ML frameworks (PyTorch, TensorFlow, scikit-learn) and libraries (NumPy, pandas). Experience with software engineering practices, agile methodologies and version control (Git). Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Key Skills Applied Data Science Statistical Modeling & Analysis Machine Learning & Deep Learning Generative AI, NLP, Computer Vision Time Series Analysis & Forecasting End‑to‑End ML Project Lifecycle Python/R Programming Skills Software Engineering & Agile Framework Preferred Experience Excellent problem-solving skill and attention to detail. Prior experience with oil & gas, commercial domain, supply chain, production systems, wells or subsurface domain is highly desirable. Experience working with Azure Databricks or other data science frameworks. Experience with mathematical modeling, physics-based simulators, scientific computing and numerical methods would be an added advantage . Functional Skills Deep & Reinforcement Learning Machine Learning Bayesian & Causal Inference Applied Software Engineering for Data Mathematical Framing of Business Problems Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Job Segment: Sustainability, Software Engineer, Chemical Engineer, Computer Science, Engineer, Energy, Engineering, Technology Apply now » Find similar jobs: View all openings, View all jobs, Research and technology © Copyright 2003-2026 Exxon Mobil Corporation. All Rights Reserved. × Privacy Preference Center Cookies and your privacy choices A cookie is a small file of letters and numbers, which may be stored on your device when you visit a website and contains information that is transferred to your computer. This information may be sent back to the website on each subsequent visit, or to another website that recognizes that cookie. This info