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Ai Data Analytics Jobs in Virginia (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

Optimize data workflows for real-time analytics and decision-making. * Ensure adherence to data governance policies and security protocols. * Stay current on data engineering, AI, and machine ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

Optimize data workflows for real-time analytics and decision-making. * Ensure adherence to data governance policies and security protocols. * Stay current on data engineering, AI, and machine ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

They are seeking an AI Data Scientist to support federal customer initiatives by designing machine learning models and analyzing complex datasets to improve citizen experiences. Responsibilities ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

$114K - $189K/yr

Advanced Analytics Solutions:Design and implement machine learning models, Gen-AI (LLM) and NLP ... Data Visualization:Design and produce compelling data visualizations and interactive dashboards.

UNISSANT

AI Data Scientist

Ashburn, VA · On-site

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advanced Analytics Solutions: * Design and implement machine learning models, Gen-AI (LLM) and NLP ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

$114K - $189K/yr

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advanced Analytics Solutions: * Design and implement machine learning models, Gen-AI (LLM) and NLP ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

$100 - $130/hr

Analyze large and complex data sets to uncover trends, generate actionable insights, and support ... Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code. * Support broader data transformation initiatives ...

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Ai Data Analytics information

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$24

$54

$93

How much do ai data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.
What are popular job titles related to Ai Data Analytics jobs in Virginia? For Ai Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Data Analytics jobs in Virginia look for? The top searched job categories for Ai Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Ai Data Analytics jobs? Cities in Virginia with the most Ai Data Analytics job openings:
Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

AI Data Engineer

SAIC

Fort Belvoir, VA • On-site

$160K - $200K/yr

Full-time

Re-posted 24 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 223 rated it services

Job description

Job Description
Description
SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.
The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:
  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications
Required Education:
  • Bachelors degree and five (5) years or more related experience; Masters and three (3) years or more experience; four (4) years of experience considered in lieu of degree.
Qualifications:
  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.
Clearance:
  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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