At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net\-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower\-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about **our What and our Why** and how we canwork **together**.
Data Science, Digital \& Analytics**Job Group**
Analytics**What Role Will You Play In Our Team**
We are seeking candidates to tackle challenging problems across ExxonMobil’s global supply chain operations including sales and operations planning (S\&OP), logistics and Materials management. The ideal candidate will understand both the commercial and technical aspects of supply chain challenges in the Oil \& Gas or Energy products (including Chemicals, Fuels) industry, advancing the development of solutions leveraging advanced modeling, ML or AI.
+ Leverage analytical tools (PowerBI, Tableau, R, python or Dataiku) to identify patterns and generate data driven insights or product ideas that can lead to accelerated business decisions supporting global Supply chain capability team
+ Work closely with business users (e.g. demand planners, material management) to gather feedback and ensure the analytical models and solutions are tailored for their operational needs
+ Develop and track KPIs to monitor performance of predictive (e.g. forecasting models) or prescriptive (simulation, AI based decision tools) models and collaborate with data science teams to ensure models are regularly calibrated and validated.
+ Proficiency in programming languages such as SQL, Python or R to do data wrangling and modeling.
+ Exposure to machine learning, AI (NLP, LLMs) solutions used in Supply chain industry for predictive and prescriptive analytics.
+ Experience contributing to the development of commercial\-grade software applications for supply chain use cases
+ Familiar with software testing and development practices (Agile)
+ Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self\-confidence
+ Strong problem\-solving skills and the ability to work independently and as part of a team.
+ Excellent communication skills, both written and verbal.
Applied Software Engineering for Data
Data Architecture \& Strategy
Data Integration
Data Management
Data Visualization
Data Modeling
Machine Learning
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.
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