ZipRecruiter

Log In

1

Azure Data Scientist Jobs in Virginia (NOW HIRING)

The Midtown Group

Be Seen First

Data Scientist

Rosslyn, VA · On-site

$60/hr

We are seeking a Data Scientist to support a federal government client by applying advanced data ... Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines, and Agile development.

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Data Scientist Location: Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities ... Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft ...

Venturegloballng

Senior Data Scientist

Arlington, VA

$180K - $230K/yr

Senior Data Scientist Located: Arlington Summary The Senior Data Scientist is responsible for ... Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or ...

S Linx LLC

Azure Data Consultant

Reston, VA · On-site

Azure Data Warehouse, Azure Logic Apps, Azure Functions, Azure Data Factory, SQL Server Minimum Requirements: · Bachelor's degree in a quantitative or scientific field such as computer science ...

Laksan Technologies

Data Scientist

Richmond, VA · On-site

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake * Cloud platforms: Amazon Web ...

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

$90 - $140/hr

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake * Cloud platforms: Amazon Web ...

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake Cloud platforms: Amazon Web ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ...

Phase2 Technology

Data Scientist, Mid

Springfield, VA · On-site

$77.60 - $176/hr

Experience with cloud‑native ML platforms such as AWS SageMaker or Azure ML. * Experience ... Azure Data Scientist Associate, AWS Machine Learning Specialty, or TensorFlow Developer ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

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 ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

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 ...

next page

Showing results 1-20

All JobsAzure Data Scientist JobsAzure Data Scientist Jobs in Virginia

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:

What job categories do people searching Azure Data Scientist jobs in Virginia look for?

The top searched job categories for Azure Data Scientist jobs in Virginia are:

Azure Data Scientist jobs near you
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

The Midtown Group

Rosslyn, VA • On-site

$60/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Key responsibilities

  • Develop, manage, and optimize automated data pipelines to support reliable analytics and data quality.

  • Extract, clean, transform, normalize, validate, and integrate data from various sources using appropriate tools and methods.

  • Develop, train, evaluate, deploy, and maintain machine learning and AI models.

Job description

We are seeking a Data Scientist to support a federal government client by applying advanced data analytics, machine learning, and artificial intelligence to complex datasets and mission-critical challenges. The Data Scientist will develop data pipelines, integrate diverse data sources, build analytical models, and translate complex findings into actionable insights.


Responsibilities

  • Develop, manage, and optimize automated data pipelines to support reliable analytics and data quality.
  • Extract, clean, transform, normalize, and validate structured and unstructured data.
  • Integrate data from flat files, relational databases, APIs, external systems, and other sources using JDBC/ODBC, REST APIs, and web scraping.
  • Develop data and analytics solutions using AWS and/or Azure, including Databricks, Azure Data Factory, and Azure Data Lake.
  • Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines, and Agile development.
  • Apply Python, SQL, R, and/or JavaScript to develop datasets, models, dashboards, visualizations, and reports.
  • Apply advanced analytics including machine learning, AI, NLP, predictive analytics, statistical modeling, and data/text mining.
  • Develop, train, evaluate, deploy, and maintain machine learning and AI models.
  • Use PySpark/PySpark SQL to process and analyze large-scale datasets.
  • Identify trends, anomalies, patterns, and risks to support audit, investigative, oversight, and fraud, waste, and abuse activities.
  • Translate technical findings into clear narratives, recommendations, visualizations, and presentations.
  • Develop technical documentation, requirements, test plans, methodologies, and training materials.
  • Collaborate with technical teams, stakeholders, and management and provide guidance on data access, quality, storage, and analytics.


Qualifications

Required

  • US Citizenship required
  • 1+ year of experience working with AWS and/or Azure services, such as Databricks, Azure Data Factory, and Azure Data Lake.
  • Experience with Azure DevOps and/or GitHub, CI/CD pipelines, and Agile methodologies.
  • Experience developing and optimizing automated data pipelines and ETL/ELT processes.
  • Proficiency with Python and SQL; experience with R and/or JavaScript is a plus.
  • Experience working with structured and unstructured data and integrating multiple data sources.
  • Knowledge of machine learning, artificial intelligence, NLP, predictive analytics, statistical analysis, or data/text mining.
  • Strong analytical, problem-solving, technical writing, and communication skills.
  • Ability to work independently and effectively within a collaborative team environment.

Preferred

  • Experience with contract, procurement, and accounts payable (AP) data to identify trends, anomalies, and potential risks.
  • Experience using PySpark/PySpark SQL for large-scale data processing.
  • Experience with data lakes, data lakehouses, relational databases, and business intelligence tools.
  • Experience supporting federal audit, investigation, oversight, fraud, waste, or abuse-related activities.
  • Experience developing predictive models, NLP solutions, dashboards, and investigative or analytical visualizations.
  • Experience presenting technical findings, training materials, or conference presentations to large audiences.


The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.