> Markdown version of [/jobs/ext/3410549-advanced-data-scientist](https://www.wearedevelopers.com/jobs/ext/3410549-advanced-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Advanced Data Scientist

- **Company:** Exxon Mobil Corporation
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Artificial Neural Networks, Computer Vision, Continuous Integration, Data Cleansing, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Azure Machine Learning, Scientific Computating, Software Engineering, Reinforcement Learning, Pytorch, Deep Learning, Generative AI, Git, Pandas, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Software Version Control, Databricks
- **Published:** September 30, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/po3dgowsur

## About the Role

* 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.

## Description

* Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization to research, develop, and deliver data science tools, models, or software for solving challenging business problems in the oil and gas industry.
 * Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
 * Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models.
 * Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, monitoring, data quality).
 * Apply data science methods, machine learning tools, visualization and/or statistical techniques along with domain knowledge to generate actionable insights and provide optimized recommendations.


## Related Videos

- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner)
- [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)