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2021- 2022: Information Technology Data Science and Analytics Intern


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Company

Chevron Corporation

Description

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 availableData ScientistMachine Learning EngineerBusiness Intelligence AnalystLocationsHouston, TXSan Ramon, CAData ScientistJob descriptionThisposition is part oftheData Science & Analytics chapterresponsible forprovidingData Science andMachine Learning Engineeringexpertise and solution deliveryacross 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 responsibilitiesIdentify 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 EngineerJob descriptionThisposition is part oftheData Science & Analytics chapterresponsible forprovidingData Science andMachine Learning Engineering(MLE)expertise and solution deliveryacross Chevron. The function of this role is to partner with the business to identify opportunities to applyMLE techniquesto achievegreaterbusiness value, faster.If you want to bring your technical expertise,willingness to innovate and learn,challenge-accepted mentality and passion for building amazingData Science solutionswith real-world impactand value creation to thebusinesscome join our group!We are looking for those few individualswith a passion for exploring,innovating,and delivering cutting edge Data Science solutionsthat provide immense value to our business.Our team ishighlytechnical, creative, andinnovative. We arecross-functionaland passionate about deliveringcreativesolutionsthat drivesignificantbusiness valuefirst and foremost. We do thisthrough the agility of a small startupwhile ensuring scale and model/code reuse to a larger federated,world-wide organizationby leveragingagilepractices, continuousdelivery,andautomation techniques.We are looking for a Machine Learning Engineering Intern with the ability to bring their expertise, innovativeattitude,and excitement for solving complex problemswith new technologies and approaches. There will be no shortage of opportunities to lead,innovate, challenge the status quo, and work directly withData Scientists, Analytics Professionals and Business expertsto build and deliver innovative, value drivenAIsolutions.Key responsibilitiesConsult, identify and frameopportunitiestoimplement AI solutions thathelp Chevron businesses gain insight and improve decision making,workflow, and automationIdentify data,appropriatetechnology,and architectural design patternsto solve business challenges using analytical tools andAI design patterns andarchitecturesPartnerwith Data ScientistsandChevronIT Foundational servicesto implement complex algorithms and models intoenterprise scalemachine learningpipelinesPassionate aboutdata & model quality,provenance,and lifecycle management, helping establish a MLOps centric culture within our Data Science and Engineering teamsBuildmachine learning and deep learning systemsoptimizedfor scalability and performanceConsistently deliver complex, innovative, and complete solutions, driving them through design, planning, development,anddeployment that simplify business processes and workflows to drive business valueWork collaboratively with a large variety of different teams, including data scientists, data engineers, and solution architects from various organizations within business units and ITTransformdata scienceprototypes into appropriatescalesolutions in a production environmentOrchestrateand configureinfrastructure that assistsDataScientists and analystsinbuildinglow latency, scalable and resilient machinelearning,and optimization workloads into an enterprisesoftware productRun machine learning experiments and fine-tune algorithms to ensure optimal performanceParticipate as an active member in embedded Agile team to enable cross training andkeepskills currentDesireto learn new technologies and design patternstocontinually improvedelivery ofAI Solutionsat scalePartner withChevronIT Foundational platform to influence development of enterprise scale tools that accelerateAI solution development and deploymentParticipate in the Chevron Global Internship Program, including learning, mentoring, and networking events.Business Intelligence AnalystJob descriptionThis 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 responsibilitiesAccess, gather, and analyze data from source systemsGain an in-depth understanding of business problemsHelp 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 testingPresent findings and new development to help refine backlog itemsParticipate in the Chevron Global Internship Program, including learning, mentoring, and networking events.Required education / degreesCurrently enrolled in bachelor's or master's degree in Computer Science, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degreeMust provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.Required qualifications / certificationsData ScientistDemonstrated 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 EngineerDemonstratedSoftware 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 technologiesquickly that help deliverAIsolutions.Ability to engage business and technical experts at all organizational levels and assess opportunities to applymachine learning andanalytics 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 ProgrammingPython development experiencePreferred skills / competenciesData Scientist & Business Intelligence AnalystAwareness of current and emerging trends in data science and artificial intelligenceSchool, work experiences or exposure in linear programming optimization, deep learning, or computer vision is a plus.Machine Learning EngineerExcellentskills in statistics and machine learning applied to timeseriesdataanalysisExperience implementingmachine learning frameworksand libraries(e.g.ML Flow, Kubeflow,Tensorflow.Kerasscikit-learn,PyTorch, NumPy, SciPy, etc.)Development experience witha JavaScript framework (Angular, React, node.js etc.)Object-oriented programming and debugging skills in PythonA keen eye for good architecture and the ability to develop new architectures and frameworksPassionate and detailed approach to software developmentProven ability to take leadership role in projects that span multiple teams, ability to deliver on time working in afast-pacedagile environment, ability to work with product managers to clarify and prune requirements, strongverbal,and written communicationAdditional informationRelocation 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 ...@chevron.com.Chevron participates in E-Verify in certain locations as required by law.
Associated topics: data architect, data center, data integration, data integrity, data manager, database administrator, etl, hbase, sql, teradata
Posted Date
10/03/2021

Listing ID
77131953
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