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Part Time Geology Data Science Jobs in Atlanta, GA

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Booz Allen Hamilton, Inc.

Health Data Scientist

Atlanta, GA · On-site

$86K - $198K/yr

Experience with data science and data analytics, including structured, unstructured, or relational ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Varsity Tutors

Earth Science Tutor

Atlanta, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Lawrenceville, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Roswell, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Marietta, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Woodstock, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Duluth, GA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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All JobsGeology Data Science JobsPart Time Geology Data Science JobsPart Time Geology Data Science Jobs in Atlanta, GA

Part Time Geology Data Science information

See Atlanta, GA salary details

$34.6K

$74.1K

$119.7K

How much do part time geology data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time geology data science in Atlanta, GA is $74,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $89,400.00 per year, depending on experience, location, and employer.

What is a part-time geology data scientist?

A part-time geology data scientist is a professional who applies data science techniques to analyze geological data, such as rock samples, seismic data, or mineral compositions, while working less than full-time hours. They use statistical analysis, machine learning, and data visualization to interpret complex geological information and support decision-making in areas like resource exploration or environmental monitoring. Part-time roles offer flexibility, making them ideal for students, professionals seeking work-life balance, or those supplementing other careers. Responsibilities may include data cleaning, creating predictive models, and collaborating with geologists and engineers. These professionals are valuable in industries like mining, oil and gas, environmental consulting, and academia.

What are the key skills and qualifications needed to thrive as a part-time geology data scientist?

To thrive as a Part Time Geology Data Scientist, you need a solid background in geology, statistical analysis, and data science, often supported by a relevant degree. Familiarity with programming languages like Python or R, GIS software, and data visualization tools is typically required. Strong problem-solving, communication, and time management skills help you interpret complex data and share insights effectively. These capabilities are crucial for extracting actionable geological insights from data while balancing part-time responsibilities.

What are the typical responsibilities and collaboration opportunities for a part-time geology data science role?

In a part-time Geology Data Science position, you can expect to work on tasks such as cleaning and analyzing geological datasets, creating visualizations, and supporting research or exploration projects with data-driven insights. You’ll often collaborate with geologists, engineers, and IT professionals to interpret findings and contribute to decision-making processes. Communication skills are important, as you'll need to explain complex data trends to colleagues who may not have a data science background. The role offers valuable experience in both geoscience and analytics, which can open doors for future full-time opportunities or specialized advancement in the field.

What is the difference between Part Time Geology Data Science vs Part Time Environmental Data Science?

AspectPart Time Geology Data SciencePart Time Environmental Data Science
Required CredentialsGeology or Earth Science degree, Data Science skillsEnvironmental Science or related degree, Data Science skills
Work EnvironmentMining sites, geological surveys, research labsEnvironmental agencies, consulting firms, research institutions
Industry UsageMining, oil & gas, geological explorationEnvironmental consulting, conservation, policy analysis
Search & Comparison IntentUnderstanding geology-focused data roles in part-time settingsExploring environmental data science opportunities part-time

Part Time Geology Data Science involves analyzing geological data within industries like mining and oil & gas, often requiring geology credentials. In contrast, Part Time Environmental Data Science focuses on environmental data for conservation and policy, typically needing environmental science backgrounds. Both roles utilize data science skills but serve different industry needs and work environments.

What are the most commonly searched types of Geology Data Science jobs in Atlanta, GA?

The most popular types of Geology Data Science jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Part Time Geology Data Science jobs?

Cities near Atlanta, GA with the most Part Time Geology Data Science job openings:

Part Time Geology Data Science jobs near you

AI Data Science Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$100 - $200/hr

Part-time

Posted 11 days ago

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.