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Ai Data Analytics Jobs in Silver Spring, MD (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$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 ...

Bart & Associates

AI Data Scientist

Ashburn, VA · On-site

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and ... Analyze large and complex data sets to uncover trends, generate actionable insights, and support ...

B&A

AI Data Scientist

Ashburn, VA · On-site

Description AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live ... Analyze large and complex data sets to uncover trends, generate actionable insights, and support ...

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 ...

Bart and Associates, Inc

AI Data Scientist

Ashburn, VA · On-site

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and ... Analyze large and complex data sets to uncover trends, generate actionable insights, and support ...

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 ...

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Ai Data Analytics information

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$25

$56

$97

How much do ai data analytics jobs pay per hour?

As of Aug 14, 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 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 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, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $117,720 per year, or $56.6 per hour.

Lead AI & Data Analytics Engineer - Must be government clearance eligible

Navaide

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. They are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort, serving as the technical and functional lead for building AI-enabled analytics products.
Responsibilities:
• Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations.
• Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform.
• Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions.
• Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools.
• Build and maintain ETL/ELT pipelines in Foundry’s Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets
• Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry’s open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements
• Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows.
• Identify, prioritize, and drive analytics and AI use cases from concept through delivery.
• Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions.
• Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations.
• Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk.
• Support data integration across contract writing, procurement, financial, program, and operational data sources.
• Validate AI-generated outputs against source data, business rules, and subject matter expert feedback.
• Establish standards for data quality, governance, documentation, and responsible AI use.
• Provide technical direction to junior or support-level data analytics staff.
• Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders.
Qualifications:
Required:
• 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
• Experience building analytics products in Palantir Foundry.
• Experience working with Advana, Jupiter, or similar federal/DoD data environments.
• Strong experience with SQL, Python, TypeScript/JavaScript.
• Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
• Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
• Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
• Strong understanding of data governance, data quality, access control, and responsible AI practices.
• Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
• Strong client-facing communication skills and stakeholder engagement skills.
• Eligible to obtain a U.S. Government clearance.
• Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.
Company:
NavAide provides business systems, data management, enterprise, energy, and cyber solutions. Founded in 2016, the company is headquartered in San Diego, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016

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