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Ai Data Developer Jobs in Washington (NOW HIRING)

Palantir AI and Data Science Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Applying DevOps and statistical programming tools to improve data quality, platform performance ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

Data Engineer

Falls Church, VA · Hybrid

$81K - $105K/yr

No As a Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your ... We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and ...

Generative AI Data Engineer III

Washington, DC · On-site

$129K - $155K/yr

Work you'll do As an AI and Data Science Engineer III on the team, you will be responsible for: * Design, build, test, and deploy machine learning and artificial intelligence solutions for business ...

Ability to Obtain Public Trust What You Will Do Guidehouse is seeking a Lead Developer to provide hands-on technical leadership for data engineering, analytics, and AI-enabled solutions in support of ...

Ability to Obtain Public Trust What You Will Do Guidehouse is seeking a Lead Developer to provide hands-on technical leadership for data engineering, analytics, and AI-enabled solutions in support of ...

Description AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live ... Experience with Large and Small Language models, Vision models, Prompt and Context engineering.

AI/DATA SOLUTIONS ARCHITECT

Ashburn, VA · On-site

$173K - $220K/yr

This role sits at the intersection of technical strategy, solution engineering, and organizational ... Develop end-to-end data and AI architectures, including data pipelines, ML platforms, integration ...

This role sits at the intersection of technical strategy, solution engineering, and organizational ... Develop end-to-end data and AI architectures, including data pipelines, ML platforms, integration ...

Sr Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer ...

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and ... Experience with Large and Small Language models, Vision models, Prompt and Context engineering.

Showing results 41-60

Ai Data Developer information

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

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

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AI Data Analyst with Security Clearance

LTC Solutions, LLC

Washington, DC • On-site

Other

Posted 13 days ago


Key responsibilities

  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.

  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.

  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.


Job description

AI Data Analyst: Location: Hybrid (Supporting Pentagon, Arlington, VA) Status: Contingent Hire – Full-Time – Hybrid Clearance: US Citizens with Active TS/SCI Security Clearance (Required) MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools. Position Summary The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making. The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance. Required Qualifications U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
Experience collecting, cleaning, validating, and transforming structured datasets.
Working knowledge of relational databases, SQL queries, and data management principles.
Strong analytical, problem-solving, and technical communication skills.
Ability to work independently while collaborating effectively with senior analysts and Government personnel.
Preferred Qualifications Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
Experience developing automated data pipelines or reusable scripts.
Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
Experience creating interactive dashboards and executive visualization products.
Exposure to artificial intelligence, machine learning, or predictive analytics concepts.
Primary Duties Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
Research data anomalies, resolve inconsistencies, and document corrective actions.
Support integration of data from multiple Government systems into consolidated analytical datasets.
Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
Assist with testing, validating, and deploying analytical products before Government delivery.
Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
Perform additional analytical, scripting, automation, and reporting duties as assigned