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Artificial Intelligence Data Scientist Jobs (NOW HIRING)

Fairygodboss

Data Scientist

Odenton, MD · On-site

$90 - $120/hr

Bachelor's Degree in areas such as Computer Science, Mathematics, Statistics, Artificial Intelligence/Machine Learning, Data Science, and Operations Research and 10 years of relevant experience

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence ...

GRVTY

Senior Data Scientist

Saint Louis, MO

Experience applying machine learning or artificial intelligence techniques to intelligence problems ... Experience mentoring junior data scientists or leading technical modernization initiatives.

GRVTY

Senior Data Scientist

Springfield, VA

Experience applying machine learning or artificial intelligence techniques to intelligence problems ... Experience mentoring junior data scientists or leading technical modernization initiatives.

GRVTY

Senior Data Scientist

Springfield, VA

Experience applying machine learning or artificial intelligence techniques to intelligence problems ... Experience mentoring junior data scientists or leading technical modernization initiatives.

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All JobsArtificial Intelligence Data Scientist Jobs

Artificial Intelligence Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do artificial intelligence data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence 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 an artificial intelligence data scientist?

To thrive as an Artificial Intelligence Data Scientist, you need strong expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and cloud platforms, along with certifications like TensorFlow Developer or Microsoft Certified: Azure AI Engineer Associate, is highly valuable. Critical thinking, problem-solving, and strong communication skills help you translate complex data findings into actionable business strategies and work effectively with cross-functional teams. These competencies ensure accurate model development, impactful AI solutions, and effective collaboration in a rapidly evolving technology landscape.

What is the difference between Artificial Intelligence Data Scientist vs Machine Learning Engineer?

AspectArtificial Intelligence Data ScientistMachine Learning Engineer
CredentialsDegree in Data Science, AI, or related fields; certifications in data analysis and AI toolsDegree in Computer Science, Software Engineering, or related fields; certifications in ML frameworks
Work EnvironmentResearch-focused, data analysis, model development, often in collaborative teamsSoftware development, deploying ML models into production, often in engineering teams
Industry UsageTech, finance, healthcare, research institutionsTech companies, startups, industries requiring scalable ML solutions
Common Search IntentUnderstanding AI data analysis roles, data modeling, research tasksImplementing and deploying ML models, software engineering tasks

While both roles involve machine learning and AI, Artificial Intelligence Data Scientists focus on analyzing data, developing models, and research, whereas Machine Learning Engineers primarily build, deploy, and maintain scalable ML systems in production environments.

How do artificial intelligence data scientists typically collaborate with software engineers and domain experts on projects?

Artificial Intelligence Data Scientists often work closely with software engineers to integrate machine learning models into production systems, ensuring that data pipelines and algorithms are robust and scalable. They also collaborate with domain experts to better understand the business context, define problem statements, and interpret model results. This cross-functional teamwork is crucial for developing effective AI solutions that address real-world challenges and deliver value to the organization.

What is an artificial intelligence data scientist?

An Artificial Intelligence Data Scientist is a professional who uses advanced analytics, machine learning, and statistical methods to interpret complex data, build predictive models, and develop AI-driven solutions. They work with large datasets to extract valuable insights and help organizations make data-driven decisions. Their responsibilities often include data preprocessing, feature engineering, algorithm selection, model training and evaluation, and communicating results to stakeholders. AI Data Scientists typically have strong programming skills (such as Python or R), knowledge of statistics, and experience with machine learning frameworks.
More about Artificial Intelligence Data Scientist jobs
What cities are hiring for Artificial Intelligence Data Scientist jobs? Cities with the most Artificial Intelligence Data Scientist job openings:
What states have the most Artificial Intelligence Data Scientist jobs? States with the most job openings for Artificial Intelligence Data Scientist jobs include:
What job categories do people searching Artificial Intelligence Data Scientist jobs look for? The top searched job categories for Artificial Intelligence Data Scientist jobs are:
Artificial Intelligence Data Scientist jobs near you
Infographic showing various Artificial Intelligence Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING)

USAJOBS - Search

Wright-patterson Air Force Base, OH • On-site

$125K/yr

Full-time, Part-time

Posted 4 days ago

Job description

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806
Qualifications:To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.Employment Type: OTHER

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