ZipRecruiter

Log In

1

Azure Data Scientist Jobs in Virginia (NOW HIRING)

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

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

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

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

KDA Consulting Inc

Data Scientist

Mclean, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

ShiftCode Analytics, Inc.

Data Scientist

Reston, VA · On-site

ShiftCode Analytics, Inc. is seeking a Data Scientist to work onsite in Reston, VA. The role ... Azure, GCP). • Excellent problem-solving skills and ability to communicate complex concepts ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

KDA Consulting Inc

Data Scientist

Herndon, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125 - $160/hr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field required.

Zantech

Data Scientist

Arlington, VA · On-site

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Azure AI Engineer Associate) * Certifications Required: * Certifications Preferred: Required ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · Remote

$120K - $125K/hr

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field required.

Zantech

Data Scientist

Arlington, VA · On-site

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Azure AI Engineer Associate) * Certifications Required: * Certifications Preferred: Required ...

Zantech

Data Scientist

Arlington, VA · On-site

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Azure AI Engineer Associate) * Certifications Required: * Certifications Preferred: Required ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field required.

previous page

Showing results 41-60

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

Steampunk

Mclean, VA • On-site

$125K - $160K/yr

Other

Re-posted 22 days ago

Job description

Overview
We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities.
  • Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries.
  • Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance.
  • Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements.
  • Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent.
  • Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications.
  • Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders.
  • Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback.
  • Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories.
  • Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the US government.
  • 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems.
  • 2-4 years direct experience in Data Modeling and Data Solution Development
  • 1+ year performing queue modeling and survival analysis
  • Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
  • Demonstrated experience manipulating structured and unstructured data for analysis
  • Strong programming skills in SQL, Python, R, Scala, Java, or similar language
  • Experience using Python to manipulate large data sets
  • Experience with DevSecOps, as it applies to data science
  • Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks
  • Demonstrated experience in big data systems including Hadoop, Spark, Scala
  • Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar
  • Experience with Git, Bash, Unix commands
  • Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc.
  • Familiarity with Flask is a plus
  • Knowledge of DBOps and MLOps framework is a plus
  • Experience with Solr, Elasticsearch, or similar tool is a plus

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

Apply