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Data Science In Oil Gas Jobs in Houston, TX (NOW HIRING)

W3Global

Senior Data Scientist

Houston, TX · On-site

... data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ... Agentic AI / Agent APIs Domain experience in: Oil & Gas / Energy sector Tech Environment: AWS ...

The Jupiter Group

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are seeking an experienced Lead Data Engineer with strong expertise in the Oil & Gas industry ... Partner with data scientists and analytics teams to deliver production-ready datasets for machine ...

ECS Ltd

Director of Oil and Gas

Houston, TX · On-site

... degree in engineering, geology, environmental science, business or related field or equivalent ... Strong understanding of oil and gas project delivery methods and procurement processes.

ECS Ltd

Director of Oil and Gas

Houston, TX · On-site

... degree in engineering, geology, environmental science, business or related field or equivalent ... Strong understanding of oil and gas project delivery methods and procurement processes.

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Showing results 1-20

All JobsData Science In Oil Gas JobsData Science In Oil Gas Jobs in Houston, TX

Data Science In Oil Gas information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

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

As of Aug 8, 2026, the average yearly pay for data science in oil gas in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 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 Houston, TX? For Data Science In Oil Gas jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Science In Oil Gas jobs in Houston, TX look for? The top searched job categories for Data Science In Oil Gas jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Science In Oil Gas jobs? Cities near Houston, TX with the most Data Science In Oil Gas job openings:
Data Science In Oil Gas jobs near you
Infographic showing various Data Science In Oil Gas job openings in Houston, TX 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 $117,212 per year, or $56.4 per hour.

Senior Data Scientist

W3Global

Houston, TX • On-site

Other

Re-posted 19 days ago

Job description

Role: Senior Data Scientist - GenAI / RAG

Location: Houston, TX (Onsite - 5 Days)

Type: Full-Time

Job Description:

We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate should not be purely academic or junior; we need someone with practical implementation experience and the ability to interact confidently with customers. Strong communication and product-facing exposure are equally important.

Key Responsibilities:

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces

Work closely with client data science teams (ML/DL ecosystems)

Develop GenAI-based enterprise knowledge solutions

Collaborate directly with stakeholders and customers

Mandatory Skills

Strong experience in:

Machine Learning (ML)

Deep Learning (DL):

Hands-on experience with:

Generative AI (LLMs, RAG systems)

Exposure to:

Claude / Anthropic-based development (or similar GenAI tools)

Strong communication & client-facing capability

Good to Have

Basic exposure to: Agentic AI / Agent APIs

Domain experience in: Oil & Gas / Energy sector

Tech Environment: AWS ecosystem, Snowflake (data platform)

W3Global logo

About W3Global

Sourced by ZipRecruiter

W3Global has been delivering staffing solutions for nearly two decades; we know which recruiting strategies work best. Our expert team is committed to developing a customized solution to fit your company’s unique needs. As a W3Global client, you’ll also receive personalized assistance from a seasoned team of staffing specialists. We are committed to providing both technical support and industry expertise to simplify the hiring process. We know that your time matters. W3Global will help you streamline the hiring process, getting it done and getting it right.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Frisco, TX, US

Year founded

2006

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