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Part Time Geology Data Science Jobs (NOW HIRING)

Data Scientist

Fayetteville, NC · On-site

$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 ...

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/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 ...

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/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 ...

Adjunct Faculty in Data Science Full-time Faculty Positions Full-time faculty positions will be ... Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ...

Data Scientist

Mclean, VA · On-site

$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 ...

Data Scientist

Mclean, VA · On-site

$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 ...

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Part Time Geology Data Science information

See salary details

$36K

$77K

$124.5K

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

As of Jun 25, 2026, the average yearly pay for part time geology data science in the United States is $77,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $93,000.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a Part Time Geology Data Scientist, and why are they important?

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 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 cities are hiring for Part Time Geology Data Science jobs? Cities with the most Part Time Geology Data Science job openings:
What are the most commonly searched types of Geology Data Science jobs? The most popular types of Geology Data Science jobs are:
What states have the most Part Time Geology Data Science jobs? States with the most job openings for Part Time Geology Data Science jobs include:
Data Scientist

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description


Remote Work:
No
Job Number:
R0239248
Location:
Fayetteville,NC,US
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Data Scientist
The Opportunity:
Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating more structured and unstructured data than ever before. As a data scientist, you know that within this data are the patterns, trends, and insights that can drive smarter decisions and meaningful mission outcomes. We need a skilled data scientist like you to help our clients transform complex data into actionable insight that supports critical missions.
As a data scientist at Booz Allen, you'll contribute to advanced analytic initiatives on some of the most mission-focused projects in the industry. You'll leverage statistical methods, machine learning techniques, data mining, and predictive analytics to extract value from diverse data sources and address complex operational challenges.
On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 3+ years of experience with statistical and general-purpose programming languages for data analysis
  • 3+ years of experience analyzing structured and unstructured data sources
  • Experience with ETL tools, such as dbt and Airflow
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Experience leading the development of solutions to complex programs
  • Experience with natural language processing, text mining, or machine learning techniques
  • Top Secret clearance
  • Bachelor's degree in Computer Science, Data Science, or Mathematics

Nice If You Have:
  • Experience with Palantir Foundry
  • Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem
  • Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS
  • Experience with DevOps tools and automation practices
  • Experience working within a Combatant Command or other DoD organization
  • TS/SCI clearance

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914