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Data Science In Oil Gas Jobs in Chicago, IL (NOW HIRING)

PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of ... data science, analytics, or AI environment. * Prior experience mentoring or managing talent.

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... This leadership role offers a unique opportunity to drive innovation in predictive modeling ...

Foster a culture of scientific curiosity, rigor, and peer review, where decisions are grounded in evidence and healthy debate rather than precedent or intuition * Build an AI-native data science team ...

Foster a culture of scientific curiosity, rigor, and peer review, where decisions are grounded in evidence and healthy debate rather than precedent or intuition * Build an AI-native data science team ...

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Bachelor's degree in Computer Science, Statistics, Data Science or Related Field * MBA/Master's in ... relevant field preferred * Minimum 6+ years of progressive and related experience. * Proficiency in ...

Showing results 41-60

Data Science In Oil Gas information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

How much do data science in oil gas jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in oil gas in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Science In Oil Gas vs Petroleum Engineer?

AspectData Science In Oil GasPetroleum Engineer
Required CredentialsDegree in Data Science, Computer Science, or related fields; proficiency in programming and analytics toolsDegree in Petroleum Engineering or related engineering fields; engineering licenses may be required
Work EnvironmentOffice settings, data centers, or remote; focus on data analysis and modelingFieldwork and office; focus on drilling, reservoir management, and production
Industry UsageAnalyzing exploration data, optimizing production, predictive maintenanceDesigning drilling operations, reservoir evaluation, and production strategies

While both roles operate within the oil and gas industry, Data Science In Oil Gas primarily focuses on data analysis, modeling, and predictive analytics to optimize operations. Petroleum Engineers are more involved in designing and implementing physical extraction processes. Both roles require industry-specific knowledge but differ significantly in their daily tasks and skill sets.

What are popular job titles related to Data Science In Oil Gas jobs in Chicago, IL? For Data Science In Oil Gas jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Science In Oil Gas jobs in Chicago, IL look for? The top searched job categories for Data Science In Oil Gas jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Science In Oil Gas jobs? Cities near Chicago, IL with the most Data Science In Oil Gas job openings:
Infographic showing various Data Science In Oil Gas job openings in Chicago, IL as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,438 per year, or $60.8 per hour.

Team Scientists -- Translational Data Science #MED354

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 5 hours ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

156th of 616 rated colleges and universities


Job description

Description
The University of Chicago's Department of Medicine is searching for full-time faculty members on the School of Medicine track, at any rank, to join the Center for Translational Data Science, which focuses on the application of data science to research problems in biology, medicine and healthcare). We seek team scientists who will lead research focusing on: a) translational data science; b) the development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science; and/or c) the development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science. Other duties will include teaching and supervision of trainees and students, and scholarly activity. Academic rank and compensation are dependent upon qualifications.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Prior to the start of employment, qualified applicants must have a doctoral degree or equivalent, in the following fields: Biomedical Data Science, Computer Science, Data Science, Informational Technology, Biomedical Informatics, or a related field.
We especially welcome applicants whose research is broadly focused in the areas of computer science, bioinformatics, data science, mathematics, information technology, genetics, genomics, and/or systems biology.
To be considered, those interested must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/163014. Applicants must upload a CV including bibliography, a cover letter, and a research statement. Review of applications will continue until the positions are filled.
For instructions on the Interfolio application process, please visit: http://tiny.cc/InterfolioHelp

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