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Azure Data Scientist Jobs in Virginia (NOW HIRING)

Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance. * Help strengthen the client's internal data-science ...

Familiarity with cloud platforms (AWS, Azure, or GCP) Qualifications: * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science, Computer Science, Statistics ...

Familiarity with cloud platforms (AWS, Azure, or GCP) Qualifications: * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science, Computer Science, Statistics ...

Familiarity with cloud platforms (AWS, Azure, or GCP) Qualifications: * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science, Computer Science, Statistics ...

Data Scientist

Arlington, VA · Hybrid

$75K - $127K/yr

Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance. * Help strengthen the client's internal data-science ...

Data Scientist

Arlington, VA · On-site

$75K - $127K/yr

Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance. * Help strengthen the client's internal data-science ...

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... Familiarity with cloud platforms (AWS, Azure, or GCP)

VT Group (VTG) is seeking a highly analytical and driven Data Scientist. The role involves ... platforms (AWS, Azure, or GCP) Company : VTG delivers force modernization and digital ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

We are looking for seasoned Data Scientist to work with our existing team of Data Architects and ... Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure ...

Showing results 21-40

Azure Data Scientist information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do azure data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for azure data scientist in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is an Azure Data Scientist?

An Azure Data Scientist is responsible for designing, developing, and deploying machine learning models and AI solutions using Microsoft Azure's cloud services. They work with large datasets, utilize Azure Machine Learning, Databricks, and other Azure AI tools to extract insights and drive business decisions. Their role involves data preprocessing, feature engineering, model training, and performance optimization. Additionally, they collaborate with data engineers and analysts to integrate models into production environments and ensure scalability and reliability.

What does an Azure Data Scientist do?

As an Azure Data Scientist, your typical day involves working with large datasets hosted on Azure, building and training machine learning models using Azure Machine Learning, and collaborating with data engineers and business analysts. You will be responsible for cleaning and preprocessing data, selecting appropriate model architectures, monitoring model performance, and deploying solutions to production environments in the Azure cloud. Regular communication with stakeholders and team members is crucial to understand project goals and translate business problems into data-driven solutions. This role combines hands-on technical work with ongoing learning and cross-team collaboration in a dynamic, fast-paced environment.

What are the key skills and qualifications needed to thrive as an Azure Data Scientist?

To thrive as an Azure Data Scientist, you need strong skills in statistics, machine learning, and data analysis, often supported by a degree in computer science or a related field. Experience with Microsoft Azure cloud services, such as Azure Machine Learning and Data Factory, along with certifications like Azure Data Scientist Associate, are highly valuable. Effective communication, problem-solving, and collaboration are essential soft skills for working in cross-functional teams and presenting insights to stakeholders. These abilities ensure you can efficiently develop, deploy, and optimize data-driven solutions that meet business objectives in a cloud-based environment.

How much do Azure Data Scientists make?

Azure Data Scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and certifications. Professionals with advanced skills in machine learning, cloud platforms, and data analysis tools tend to command higher salaries.

What are the most commonly searched types of Azure Data Scientist jobs in Virginia?

The most popular types of Azure Data Scientist jobs in Virginia are:

What are popular job titles related to Azure Data Scientist jobs in Virginia?

For Azure Data Scientist jobs in Virginia, the most frequently searched job titles are:

Infographic showing various Azure Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 2 days ago


Job description

Data Scientist
General Information
Requisition # 693
Locations USA-VA-Arlington
Posting Date 05/06/2026
Security Clearance Required - Active Public Trust
Remote Type Hybrid (Washington DC Metro)
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This is a hybrid position with several days onsite per month as needed.
You'll support a U.S. federal civilian agency that serves as the central authority on human capital across the federal workforce, helping advance strategic goals around modernizing its use of data, building a stronger analytics workforce across government, delivering trusted human-capital data products to agencies and employees, and strengthening data governance, privacy, and security.
Responsibilities include but are not limited to:
  • Develop, deploy, and maintain production ML and NLP models that surface insights from large volumes of human-capital and workforce data, directly supporting decisions made by federal agencies, employees, and the public.
  • Build and modernize data products and pipelines that improve data access, integration, and quality across legacy and cloud-based systems.
  • Translate ambiguous policy and program questions into well-scoped analytical work, partnering with non-technical stakeholders and presenting results in ways decision-makers can act on.
  • Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance.
  • Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling.

Minimum Qualifications:
  • 2�3 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data
  • Bachelor's degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field
  • Hands-on experience building and evaluating NLP-based machine learning models
  • Strong Python skills for developing and automating ML models and data pipelines
  • Proficiency with collaborative development tools (VS Code, Git, GitHub Copilot)
  • Experience working in Agile teams to iteratively develop and deliver data products
  • Strong analytical, communication, and cross-functional collaboration skills, including translating ambiguous requirements into actionable solutions

Preferred Qualifications:
  • Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search.
  • Experience delivering data-science work in a federal or other regulated environment, with awareness of FedRAMP, FISMA, or similar compliance regimes.
  • Experience working with human-capital, workforce, survey, or other administrative-record data.
  • Experience with MLOps tooling and patterns for monitoring, retraining, and governing models in production .

Clearance Requirements:
  • This role requires the ability to obtain and maintain a U.S. Public Trust clearance. U.S. citizenship or other status meeting the federal investigative requirements is required at the time of hire.

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.