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Part Time Ai Data Scientist Jobs (NOW HIRING)

Data Scientist

Charlottesville, VA · On-site

$77.50K - $176K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... 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

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... 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

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Scientist

Edgewood, MD · On-site

$77.60K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Washington, DC · On-site

$77.60K - $176K/yr

... AI, or NLP * Experience with visualization products, such as Tableau, PowerBI, or Qlik * TS/SCI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Juneau, AK · Remote

$40/hr

Overview We are looking for a Data Scientist to join our team to train AI models. You will measure ... Benefits Full-time or part-time REMOTE position Choose which projects you want to work on Work on ...

Data Scientist

Washington, DC · On-site

$77.60K - $176K/yr

... AI, or NLP * Experience with visualization products, such as Tableau, PowerBI, or Qlik * TS/SCI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77.60K - $176K/yr

... AI and ML techniques, including NLP * Experience developing predictive data models, quantitative ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Nevada, IA · Remote

$40/hr

We are looking for a Data Scientist to join our team to train AI models. You will measure the ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

We are looking for a Data Scientist to join our team to train AI models. You will measure the ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

Data Scientist

Tampa, FL · On-site

$99K - $225K/yr

... AI, or NLP * Experience with translating complex data into a compelling narrative that informs and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

San Antonio, TX · On-site +1

$77.50K - $176K/yr

... AI, GIS, CV or NLP * Experience with visualization packages, including Tableau, Seaborn, or ggplot2 ... 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 Ai Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do part time ai data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for part time ai data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time AI Data Scientist, you need a strong background in statistics, machine learning, programming (Python or R), and experience with data analysis, usually supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, PyTorch, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, are highly valuable. Excellent problem-solving skills, adaptability, clear communication, and time management help you deliver impactful solutions efficiently in a part-time role. These skills ensure effective model development, collaboration, and the ability to contribute meaningfully despite limited hours.

How do part-time AI Data Scientists typically collaborate with full-time team members and manage project expectations?

Part-time AI Data Scientists often work closely with full-time data scientists, engineers, and project managers through regular check-ins, shared documentation, and clear communication channels. Since they may not be present during all team meetings or decision-making sessions, it's important to establish expectations around deliverables and response times. Many teams use project management tools and version control systems to keep everyone aligned, allowing part-time contributors to stay updated and provide input asynchronously. Being proactive in communication and prioritizing key tasks helps ensure that part-time data scientists remain integral to the project's success.

What are part-time AI data scientists?

Part-time AI data scientists are professionals who work less than full-time hours, typically on a flexible or contract basis, to analyze data and develop artificial intelligence models. Their responsibilities often include cleaning and processing data, building machine learning algorithms, and interpreting results to help organizations make data-driven decisions. Part-time roles are ideal for those seeking work-life balance or looking to supplement other professional activities. These positions may be remote or on-site and can be found in a variety of industries, such as technology, healthcare, and finance.

What is the difference between Part Time Ai Data Scientist vs Part Time Machine Learning Engineer?

AspectPart Time Ai Data ScientistPart Time Machine Learning Engineer
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of AI and data analysis toolsDegree in Computer Science, Software Engineering, or related; strong programming and ML skills
Work EnvironmentData analysis, model development, and interpretation in research or business settingsDeveloping, deploying, and maintaining ML models in production environments
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsTech firms, startups, and industries implementing AI solutions

While both roles involve AI and machine learning, a Part Time Ai Data Scientist focuses on analyzing data and building models to extract insights, whereas a Part Time Machine Learning Engineer emphasizes developing and deploying scalable ML systems. The roles often overlap but differ mainly in their focus on data analysis versus system deployment.

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

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 10 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

8th of 57 rated business consultants


Job description

AI Data Scientist
The Opportunity:
Support strategic operational design and capability development, and apply critical and creative thinking to define the nature of complex national security problems. Analyze the client's mission and intent, organizational relationships, and purpose of proposed operations to develop strategic knowledge of the operational environment and frame mission analysis. Conceptualize and construct frameworks to explain the operational environment through visual effects and tools to better inform assigned Mission Areas. Design and shape knowledge of assigned environments to develop applicable approaches to exercises and wargaming, crises and contingencies, offensive, defensive, and combat operations . Conduct capability assessments on newer technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to include risks and vulnerabilities, and adversarial parameters.
You Have:
  • 5+ years of experience with Data Analysis and Data Science, including integrating data feeds to display information
  • Experience with AI, ML, and data management and visualization tools with a graphical user interface, such as Python, Tableau, or Power BI
  • Experience in DoD Information Technology (IT), Department of Defense Information Network (DoDIN), or cyberspace tactical environment
  • Experience working with industry engagements, academia, and technical universities
  • Experience with demonstrations, practical use applications, and drafting executive summaries with recommendations
  • TS/SCI clearance
  • Bachelor's degree in an Applied Science field

Nice If You Have:
  • Experience with preparing project charters and leading and organizing working groups to address data analytics
  • Experience with analyzing operational assessment methodologies and decision criteria, and preparing and presenting briefings to senior leadership
  • Experience working with the Defense Industrial Base (DIB)
  • Knowledge of operations in mission areas, including network operations, network defense, signals intelligence, information operations, space, or electronic warfare
  • Ability to create and maintain KM solutions and use Power BI tools to create dashboards and visual displays
  • Ability to communicate and visualize complex data in an actionable and effective way for a given project or study
  • Ability to work independently and with team members from different backgrounds
  • Master's degree

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