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Part Time Data Mining Jobs in Virginia (NOW HIRING)

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

... mining, data engineering, or data warehousing, or 12+ years of experience with scientific ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$62K - $141K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Ability to deploy natural language processing, text mining, or machine learning techniques * TS/SCI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$53K - $108K/yr

Experience with machine learning, data mining, statistics, or graph algorithms in an academic or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 140,800 - 203,700 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 140,800 - 203,700 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

AI Solutions Architect

Reston, VA · On-site +1

$140K - $203K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA, Various Work Locations USA * Salary ... Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ...

Showing results 41-60

Part Time Data Mining information

See Virginia salary details

$50.6K

$69.4K

$88.2K

How much do part time data mining jobs pay per year?

As of Sep 4, 2026, the average yearly pay for part time data mining in Virginia is $69,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,300.00 per year, depending on experience, location, and employer.

What is a part time data mining job?

A Part Time Data Mining job involves analyzing large datasets to extract useful patterns, trends, and insights. Professionals in this role use various tools and techniques, such as statistical analysis and machine learning, to process and interpret data. These jobs are typically flexible, allowing individuals to work a limited number of hours per week. Part-time data miners are often employed in industries like marketing, finance, healthcare, and e-commerce to support data-driven decision-making.

What are some typical projects or tasks a part time data mining professional might work on?

As a Part Time Data Mining professional, you might work on projects such as identifying customer trends, segmenting datasets for targeted marketing, or analyzing operational data to improve business processes. Your daily tasks could include cleaning and processing large datasets, running statistical analyses, and visualizing data findings for team presentations. You’ll often collaborate with data analysts, marketing teams, or business managers to translate data insights into actionable recommendations, even if your hours are limited. This structure allows part-time employees to make meaningful contributions without a full-time commitment, and offers valuable experience for those looking to advance in data science or analytics roles.

What are the key skills and qualifications needed to thrive in the part time data mining position, and why are they important?

To excel as a Part Time Data Mining professional, you typically need a background in statistics, data analysis, and computer science, with at least some college coursework or relevant training. Familiarity with data mining tools such as Python, R, SQL, and platforms like RapidMiner or Weka is often expected, and having certifications in data analytics can be an advantage. Strong attention to detail, problem-solving abilities, and effective communication are key soft skills that set candidates apart. These competencies enable accurate data extraction, insightful analysis, and clear reporting in dynamic, data-driven work environments.

What are the most commonly searched types of Data Mining jobs in Virginia?

The most popular types of Data Mining jobs in Virginia are:

What are popular job titles related to Part Time Data Mining jobs in Virginia?

For Part Time Data Mining jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Part Time Data Mining jobs?

Cities in Virginia with the most Part Time Data Mining job openings:

Infographic showing various Part Time Data Mining job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,399 per year, or $33.4 per hour.

Computer Scientist-Washington, District of Columbia

BOOZ, ALLEN & HAMILTON, INC.

Fairfax, VA • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Computer Scientist
The Opportunity:
As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence (AI). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science expertise coupled with an original approach to your work will help clients and stakeholders make sense of their data and encourage actionable results. We're looking for someone like you to lead complex data exploration and analytics projects through your experience with statistics for the Department of Defense.
As an advanced data scientist and researcher on our national security team, you'll evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence. You'll grow your skills in continuous auditing, testing, evaluation, verification, and validation ( TEVV ) and AI risk mitigation to shape the future of analytics through a variety of means. We'll keep you sharp and moving forward in your career with access to online courses and opportunities to publish or present at conferences. Whether you're using AI to improve government efficiency or developing new TEVV procedures, you'll guide a team that serves critical missions from end to end.
Join us. The world can't wait.
You Have:
  • 8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
  • 5+ years of experience with object-oriented programming (OOP) and functional programming to build modular and scalable testing libraries
  • Experience with CI/CD pipelines, including AI or ML validation
  • Experience with building and evaluating outputs and performance of advanced analytics, particularly LLMs and/or agentic AI
  • Experience working on classified networks in support of DoD or IC clients
  • Ability to work independently with minimal oversight and direction
  • Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and "go or no-go" criteria clearly
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree

Nice If You Have:
  • Experience reviewing and evaluating technical documentation for compliance with applicable standards
  • Experience developing and executing TEVV procedures
  • Experience evaluating AI system performance, robustness, and fairness
  • TS/SCI clearance with a polygraph

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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

Sourced by ZipRecruiter

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