2023-2024: Information Technology Information and Analytics Intern

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 interns 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.

You will be supported by mentoring programs and employee networks to excel your professional development, learn about our business and technology organizations from key leaders, and have fun with work and social events throughout the summer!

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.

Positions available

• Data Scientist
• Data Engineer
• Machine Learning Engineer
• Data Analyst

Locations

• Houston, TX
• San Ramon, CA
• Bakersfield, CA
• Covington, LA
• Midland, TX
• Greeley, CO
• Ames, IA
• Geismar, LA

Data Scientist

Job description

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.

Key responsibilities

• 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

Data Engineer

Job description

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, data science to create business value through data accessibility. Successful candidates will understand the business use of data and the stakeholders requirements to support work processes and strategic business objectives.

Key responsibilities

• Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns
• Partner with data scientists, making data available for advanced analytics models, and contribute to advanced analytics models
• Collaborate with machine learning engineers to scale and deploy solutions including models, documentation, training, and integration
• Contribute to the inner source development of foundational tools, and the deployment of technical services

Machine Learning Engineer

Job description

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, world-wide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals and Business experts to build and deliver innovative, value driven AI solutions.

Key responsibilities

• Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation
• Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures
• Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
• Build machine and deep learning systems optimized for scalability and performance
• Transform data science prototypes into scalable solutions in a production environment
• Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product
• Run machine learning experiments and fine-tune algorithms to ensure optimal performance

Data Analyst

Job description

• A Data Analyst provides expertise on how business workflows map to data and will serve as a subject matter expert for the delivery teams about specific business domain.
• Data Analysts can specialize in 2 areas:
  • Data translation specialization: data analysts contribute to building reusable data products mapped to business subject areas. They identify, design and test the transformations of the data that will facilitate future consumption and creation of business value.
  • Data visualization specialization: data analysts drive insights into business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.).

Key responsibilities

• Understanding the business use of data and stakeholder requirements to support work processes and strategic business objectives.
• Working with business (digital platform, Business Units, function teams) and delivery teams to provide data management direction and support for data foundation initiatives and data products development.
• Analyzing current state of data management: process, practices, tools, and helping shape future needs. Contributing to the design of common information models.
• Assessing data quality concerns specific to workflow solutions being adopted and driving mitigation activities.
• Advising on the appropriate data integration patterns, data modeling and data quality.
• Maintaining and sharing knowledge of requirements, key data types and data definitions, data stores, data creation process.
• Designing visualization that will provide insights and create value.

Requirements

Preferred education / degrees

• Currently enrolled in bachelor s or master s degree program in Computer Science, Computer Engineering, Management Information Systems, Electrical Engineering, Petroleum Engineering, or related fields or equivalent experience
• Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.

Experience

• Data acquisition, analysis, modeling, movement, transformation, and preparation experience
• Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)
• Development experience with a JavaScript framework (Angular, React, node.js etc.)

• Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.
• Data Analyst: Experience in data analysis for a small, defined business process.

Preferred skills / competencies

• Ability to communicate in a clear and concise manner both orally and in writing.

• Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support
• Experience designing custom APIs for machine learning models for training and inference processes
• Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.
• Critical thinking, analytical thinking, interest in using data to solve business problems

Additional information

• Relocation may be considered within Chevron parameters
• Chevron regrets that it is unable to sponsor employment visas for this position. To be considered for this position, applicants must be legally authorized to work in the United States as a U.S. citizen or national, asylee, refugee, or lawful permanent resident.

• The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law. The anticipated salary range for this position is $22.50/hr - $45.00/hr. The selected candidate s compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.

  Chevron offers competitive compensation and benefits programs to eligible employees which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at http://hr2.chevron.com/ .

Regulatory Disclosure for US Positions:

Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy, childbirth, breast-feeding and related medical conditions), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability (including medical condition), military or veteran status, political preference, marital status, citizenship, genetic information or other status protected by law or regulation.

We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at [email protected].

Chevron participates in E-Verify in certain locations as required by law.