Information Technology – Information and Analytics

Chevron believes the future of energy is lower carbon. And we know that affordable, reliable, ever-cleaner energy is essential to achieving a more prosperous and sustainable world. For Chevron, reducing the carbon intensity of oil and gas represents a tremendous opportunity to advance the global net zero ambitions of the Paris Agreement and build a lower‑carbon economy.

Technology will play a crucial role in achieving this goal, and Chevron is seeking professionals with a desire to thrive in a cutting‑edge digital, global environment to securely advance the global energy transition. We differentiate ourselves through the application of technology, taking an approach that includes in‑house expertise, proprietary solutions, and strategic partnerships.

Investing in people is a key component of our company – you will be supported by mentoring programs and employee networks to excel your professional development. Rewards include competitive pay, cash incentives, flexible benefit programs and flexible work schedules – every other Friday off and remote work where approved.

Information and Analytics is one of five job families within Information Technology. Roles within this job family understand the use of data, insights, and information to support work processes and strategic business objectives:

• Transforms data into insights for making better decisions across the enterprise.
• Develops, executes, and manages information and data architectures, governance, practices, and procedures.
• Manages the full information and data lifecycle needs of the enterprise.

• Data Scientist
• Data Engineer
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Analyst

• Houston, TX

We are looking for motivated individuals to apply data science and machine learning expertise and solution delivery to join our team! You will be responsible for partnering across the business to identify opportunities to apply data science and create data science products that deliver strong value. Successful candidates will have the skills to identify, prototype, and build data science products.

• Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation
• Identify data necessary and appropriate technology to solve business challenges
• Clean data, develop models, and test models
• Establish the life cycle management process for models
• Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills

We are looking for motivated individuals to design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. You will leverage data and software engineering techniques to create business value through data accessibility. The primary role of data engineers is to make data available, secure, and accessible in usable formats to stakeholders. Successful candidates will understand the business use of data and the stakeholders’ requirements to support work processes and strategic business objectives.

• Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns
• Create and manage data pipelines that enable advanced analytics models, and handle data challenges and opportunities
• Ensure the scalability and reliability of model deployment, and document the technical aspects of the process
• Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows

We are looking for motivated individuals to bring technical expertise, innovation, and passion for building amazing data science solutions with real‑world impact to join our team! Successful candidates will drive significant value through the agility of a small startup while ensuring scale and model/code reuse to a larger federated, worldwide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage…