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Data Science In Oil Gas Jobs in Phoenix, AZ (NOW HIRING)

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

New

In this role, you will: o Lead complex initiatives by utilizing data-driven, advanced analytical ... science best practices, methods, and tools to leverage o Communicate actionable insights and ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector ...

Our data science teams also embrace staying current with the evolving data science landscape. **Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector ...

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Experience Required 5+ years of experience in Data Science, Machine Learning, or AI‑related roles. #J-18808-Ljbffr

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking * Perform time-series ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

As a Data Scientist II you will drive data ... science projects across multiple teams and domains. In this role, you'll take ownership of ...

Showing results 21-40

Data Science In Oil Gas information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

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

As of Aug 14, 2026, the average yearly pay for data science in oil gas in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 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 Phoenix, AZ?

For Data Science In Oil Gas jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Data Science In Oil Gas jobs in Phoenix, AZ look for?

The top searched job categories for Data Science In Oil Gas jobs in Phoenix, AZ are:

AI Data Science Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Posted 3 days ago

New


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.