2021-2022: Information Technology Data Science and Analytics Intern - TMCF Association at Chevron (Houston, TX)

| Houston, TX
Sorry, this job was removed at 4:05 a.m. (CST) on Tuesday, June 21, 2022
Find out who's hiring in Houston, TX.
See all Internships jobs in Houston, TX
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
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'll 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!

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


Locations
  • Houston, TX
  • San Ramon, CA


Data Scientist

Job description
  • This position is part of the Data Science & Analytics chapter responsible for providing Data Science and Machine Learning Engineering expertise and solution delivery across Chevron.
  • The function of this role is to partner with the business to identify opportunities to apply data science approaches and create data science products that deliver business value.
  • The successful candidate that fills this position 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 to help Chevron businesses gain insight and improve decision making, workflow, and automation. Understand value of proposed opportunity.
  • Identify data necessary and appropriate technology to solve business challenges identified.
  • Clean data, develop models, and test models.
  • Establish the life cycle management process for models.
  • Participate in the Chevron Global Internship Program, including learning, mentoring, and networking events.


Machine Learning Engineer

Job description
  • This position is part of the Data Science & Analytics chapter responsible for providing Data Science and Machine Learning Engineering (MLE) expertise and solution delivery across Chevron. The function of this role is to partner with the business to identify opportunities to apply MLE techniques to achieve greater business value, faster.
  • If you want to bring your technical expertise, willingness to innovate and learn, challenge-accepted mentality and passion for building amazing Data Science solutions with real-world impact and value creation to the business come join our group! We are looking for those few individuals with a passion for exploring, innovating, and delivering cutting edge Data Science solutions that provide immense value to our business.
  • Our team is highly technical, creative, and innovative. We are cross-functional and passionate about delivering creative solutions that drive significant business value first and foremost. We do this 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.
  • We are looking for a Machine Learning Engineering Intern with the ability to bring their expertise, innovative attitude, and excitement for solving complex problems with new technologies and approaches. 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 Chevron businesses gain insight and improve decision making, workflow, and automation
  • Identify data, appropriate 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
  • Passionate about data & model quality, provenance, and lifecycle management, helping establish a ML Ops centric culture within our Data Science and Engineering teams
  • Build machine learning and deep learning systems optimized for scalability and performance
  • Consistently deliver complex, innovative, and complete solutions, driving them through design, planning, development, and deployment that simplify business processes and workflows to drive business value
  • Work collaboratively with a large variety of different teams, including data scientists, data engineers, and solution architects from various organizations within business units and IT
  • Transform data science prototypes into appropriate scale 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
  • Participate as an active member in embedded Agile team to enable cross training and keep skills current
  • Desire to learn new technologies and design patterns to continually improve delivery of AI Solutions at scale
  • Partner with Chevron IT Foundational platform to influence development of enterprise scale tools that accelerate AI solution development and deployment
  • Participate in the Chevron Global Internship Program, including learning, mentoring, and networking events.


Business Intelligence Analyst

Job description
  • This position is part of the Data Science & Analytics chapter responsible for providing Data Science and Analytics expertise and solution delivery across Chevron.
  • The function of this role is understanding data in the larger context of the business and the value chain to transform data into insights for better decision-making through scientific exploration, analytics, and data.
  • The Business Intelligence Analyst is accountable for leading data analytics initiatives within Chevron business by performing data analysis, translating data requirements to technical requirements, and driving insights to business problems and decisions.


Key responsibilities
  • Access, gather, and analyze data from source systems
  • Gain an in-depth understanding of business problems
  • Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.)
  • Drive insights to business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.)
  • Participates in the end-to-end product development lifecycle as a member of agile team:
  • Contribute to data analysis, data wrangling, data visualization, and user acceptance testing
  • Present findings and new development to help refine backlog items
  • Participate in the Chevron Global Internship Program, including learning, mentoring, and networking events.


Required education / degrees
  • Currently enrolled in bachelor's or master's degree in Computer Science, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degree
  • Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.


Required qualifications / certifications

Data Scientist
  • Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining); experience implementing advanced analytics projects; working knowledge of Microsoft Azure and tools in its ecosystem; proficiency in Python and R.
  • Fundamental understanding of business and ability to collaborate and build relationships across the organization to apply data science analytics to improve workflows and deliver information and insight to support business decisions.
  • Ability to communicate in a clear, concise, and understandable manner both orally and in writing. Listens carefully and asks questions to understand the views, concerns, and comments of others.


Machine Learning Engineer
  • Demonstrated Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries. Demonstrated ability to proactively learn new technologies quickly that help deliver AI solutions.
  • Ability to engage business and technical experts at all organizational levels and assess opportunities to apply machine learning and analytics to improve their workflows and deliver information and insight to support business decisions.
  • Ability to communicate in a clear, concise, and understandable manner both orally and in writing. Listens carefully and asks questions to understand the views, concerns, and comments of others.
  • Experience in Object Oriented Design and Programming
  • Python development experience


Preferred skills / competencies

Data Scientist & Business Intelligence Analyst
  • Awareness of current and emerging trends in data science and artificial intelligence
  • School, work experiences or exposure in linear programming optimization, deep learning, or computer vision is a plus.


Machine Learning Engineer
  • Excellent skills in statistics and machine learning applied to timeseries data analysis
  • Experience implementing machine learning frameworks and libraries (e.g. ML Flow, Kubeflow, Tensorflow. Keras scikit-learn, PyTorch, NumPy, SciPy, etc.)
  • Development experience with a JavaScript framework (Angular, React, node.js etc.)
  • Object-oriented programming and debugging skills in Python
  • A keen eye for good architecture and the ability to develop new architectures and frameworks
  • Passionate and detailed approach to software development
  • Proven ability to take leadership role in projects that span multiple teams, ability to deliver on time working in a fast-paced agile environment, ability to work with product managers to clarify and prune requirements, strong verbal, and written communication


Additional information
  • Relocation may be considered within Chevron parameters.
  • Chevron regrets that it is unable to sponsor employment visas or consider individuals on time limited visa status for this position.


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.
More Information on Chevron
Chevron operates in the Energy industry. The company is located in San Ramon, CA and Andrews, TX. Chevron was founded in 2022. It has 74668 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 5 open jobs at Chevron, click here.
Read Full Job Description
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Similar Jobs

Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView Chevron's full profileFind similar jobs