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Ai Data Analytics Jobs in Silver Spring, MD (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 ...

Nationwide IT Services

Palantir / AI Data Engineer

MD · On-site

The engineer will maintain semantic data layers, schemas, vector indexes, and AI-ready data products that enable natural-language, AI/ML, and mission analytics use cases across integrated ANG data ...

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 ...

Carlyle

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Implement semantic models, data contracts, and analytical/dimensional models that enable trusted self-service analytics and reliable AI grounding. * Build and maintain reusable data products with ...

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

$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.

Carlyle

Data & AI Engineer

Washington, DC · On-site

$160 - $180/hr

Implement semantic models, data contracts, and analytical/dimensional models that enable trusted self-service analytics and reliable AI grounding.\* Build and maintain reusable data products with ...

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 ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Silver Spring, MD

Ai Data Analytics information

See Silver Spring, MD salary details

$25

$56

$97

How much do ai data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai data analytics in Silver Spring, MD is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $64.13 per hour, depending on experience, location, and employer.

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 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.

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 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.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Silver Spring, MD?

For Ai Data Analytics jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Silver Spring, MD look for?

The top searched job categories for Ai Data Analytics jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai Data Analytics jobs?

Cities near Silver Spring, MD with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,720 per year, or $56.6 per hour.

AI Data Engineer

Science Applications International Corporation

Fort Belvoir, VA • On-site

$129K - $155K/yr

Full-time

Re-posted 17 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

88th of 226 rated it services

Job 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.
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.

Required Education:

  • Bachelors degree and nine (9) years or more related experience; Masters and seven (7) years or more experience; four (4) years of experience considered in lieu of degree.

Qualifications:

  • 9+ 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.

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  

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