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Oil Scientist Jobs (NOW HIRING)

Lipid Science & Applications / Oil Processing - Scientist I - Decatur, IL The ADM R&D Lipid Science & Applications Group (LS&A) & Oil Processing Group is seeking candidates for a scientist to work on ...

Senior Scientist

The Woodlands, TX · On-site

$81K - $111K/yr

The Senior Scientist for Chemical Enhanced Oil Recovery provides technical leadership for surfactant-based chemical EOR technologies, with responsibility for advancing formulation strategy ...

New Tech Global is seeking a Project Scientist - Air for the Houston, TX location. This is a direct ... Familiarity with oil and gas processes and equipment * Knowledge of industrial process systems and ...

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

The team covers global grains, oilseeds, biofuels, ocean freight and livestock. The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging advanced statistical ...

Sr.Scientist

Hercules, CA · On-site

$101K - $138K/yr

... multicomponent (oil, buffer, surfactant, and thermoplastic) systems Design, source, and use ... junior scientists in development campaigns Analyze and synthesize existing literature and new ...

The team covers global grains, oilseeds, biofuels, ocean freight and livestock. The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging advanced statistical ...

The team covers global grains, oilseeds, biofuels, ocean freight and livestock.The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging advanced statistical ...

The team covers global grains, oilseeds, biofuels, ocean freight and livestock. The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging advanced statistical ...

Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed ... They are seeking a Data Scientist to join the team full-time to work with other Data Science and ...

Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed ... They are seeking a Data Scientist to join the team full-time to work with other Data Science and ...

Project Scientist

Billerica, MA · On-site

$90K - $112K/yr

Weston Solutions is searching for an enthusiastic and dedicated Senior Environmental Scientist ... Direct on-scene experience with hazardous substances, and oil releases and spills * Strong ...

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Oil Scientist information

What is the difference between Oil Scientist vs Petroleum Engineer?

AspectOil ScientistPetroleum Engineer
Required CredentialsBachelor's or Master's in Geology, Chemistry, or related fields; often requires research experienceBachelor's or Master's in Petroleum Engineering or related fields; focus on design and development of extraction methods
Work EnvironmentLaboratories, research facilities, field sampling sitesDrilling sites, production facilities, office settings
Industry UsageResearch and development, environmental analysis, resource assessmentExtraction, drilling operations, reservoir management

Oil Scientists primarily focus on research, analysis, and development related to oil resources, working in labs and research settings. Petroleum Engineers concentrate on designing and implementing extraction techniques in the field. Both roles are essential in the oil industry but differ in their focus and work environment.

More about Oil Scientist jobs

What cities are hiring for Oil Scientist jobs?

Cities with the most Oil Scientist job openings:

What states have the most Oil Scientist jobs?

States with the most job openings for Oil Scientist jobs include:

Infographic showing various Oil Scientist job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Nights. Highlights an 89% In-person, and 11% Remote job distribution.

Data Scientist (Oil and Gas)

Houston, TX • On-site

Sky Consulting Inc
Recruiting and Staffing Services • 11 - 50 employees

Full-time

Re-posted 18 days ago


Job description

No sponsorship is available now or in the future. 3 days onsite in Houston,TX (Downtown)
Title:Data Scientist (Oil and Gas)
Location: Houston,TX - Hybrid 3 days in office
Type of Role: Full time
 
Description
We are seeking a Data Scientist with strong downstream refining experience to drive data-
driven insights across refinery operations, economics, and reliability. This role partners
closely with process engineers, operations, planning, maintenance, and commercial teams
to optimize refinery performance using advanced analytics, machine learning, and domain-
informed modeling.
You’ll work on high-impact problems such as yield optimization, energy efficiency, unit
reliability, predictive maintenance, and margin improvement—turning complex refinery data
into actionable intelligence.
 
Analytics & Modeling
 Develop, validate, and deploy statistical, ML, and optimization models for refining
operations
 Build models supporting:
o Unit performance optimization (e.g., CDU/VDU, hydrotreating, cracking)
o Energy efficiency and utilities optimization
o Yield and cut-point optimization
o Predictive maintenance and reliability analytics
o Fouling, corrosion, and anomaly detection
o Apply time-series analysis to high-frequency plant data (DCS, historian)
Refining Domain Collaboration
 Partner with process engineers, operations, maintenance, and planning
teams to translate refinery problems into analytical solutions
 Incorporate first-principles knowledge (mass & energy balances, constraints,
process limits) into data models
 Interpret model results in the context of refinery economics, safety, and operability
Communication Impact
 Clearly communicate insights to technical and non-technical stakeholders
 Quantify business impact (margin improvement, energy reduction, reliability gain
 
Responsibility
 Bachelor’s or Master’s degree in Data Science, Chemical Engineering, Applied
Mathematics, Statistics, or related field
 3–8+ years of experience applying data science in downstream refining or closely
related process industries
 Strong proficiency in Python or R for data analysis and modeling
 Experience with time-series data and industrial process data
 Solid understanding of refining processes and unit operations
 Experience working with historians (PI), SQL databases, and unstructured data