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Applied Data Science Jobs in Virginia (NOW HIRING)

Expression Networks

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

SteerBridge

Mid-Data Scientist

Vienna, VA · On-site

Lead or support end‑to‑end analytical modeling and data science framing activities. * Analyze ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

$160K - $180K/yr

... data science framing activities, including but not limited to working with partners to identify ... S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor ...

SteerBridge

Senior Data Scientist

Vienna, VA

$160K - $180K/yr

... data science framing activities, including but not limited to working with partners to identify ... S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor ...

SteerBridge

Senior Data Scientist

Vienna, VA

... data science framing activities, including but not limited to working with partners to identify ... S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor ...

ManTech

Data Analyst

Arlington, VA · Remote

$104K - $172K/yr

Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master's degree may be ...

SteerBridge

Mid-Data Scientist

Vienna, VA

Lead or support end-to-end analytical modeling and data science framing activities. * Analyze and ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

SteerBridge

Mid-Data Scientist

Vienna, VA

$137K - $155K/yr

Lead or support end-to-end analytical modeling and data science framing activities. * Analyze and ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

SteerBridge

Mid-Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

Lead or support end-to-end analytical modeling and data science framing activities. * Analyze and ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

ManTech International

Data Analyst

Arlington, VA · On-site +1

$104K - $172K/yr

Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master's degree may be ...

Booz Allen Hamilton, Inc.

ICAM Data Scientist

Mclean, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience in data analysis, data engineering, or applied data science, including SQL and Python or R * Experience building dashboards or reporting tools such as Tableau ...

Booz Allen Hamilton

ICAM Data Scientist

Mclean, VA

$77K - $176K/yr

You Have: * 2+ years of experience in data analysis, data engineering, or applied data science, including SQL and Python or R * Experience building dashboards or reporting tools such as Tableau ...

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Showing results 21-40

All JobsApplied Data Science JobsApplied Data Science Jobs in Virginia

Applied Data Science information

See Virginia salary details

$25.3K

$143.2K

$217.8K

How much do applied data science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for applied data science in Virginia is $143,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,409.00 and $177,973.00 per year, depending on experience, location, and employer.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are popular job titles related to Applied Data Science jobs in Virginia?

For Applied Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Applied Data Science jobs in Virginia look for?

The top searched job categories for Applied Data Science jobs in Virginia are:

Applied Data Science jobs near you
Infographic showing various Applied Data Science 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 $143,204 per year, or $68.8 per hour.

Data Engineer

Arlington, VA • On-site

Expression Networks
IT Services • 51 - 200 employees
Learn more about Expression Networksexternal

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Expression is seeking an experienced Data Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions for the Department of Defense CDAO ADA IR program.
The Data Engineer will work as part of a multidisciplinary team integrating data engineering, advanced analytics, machine learning, and software engineering capabilities into mission-critical environments supporting Combatant Commands. This role will design and deploy data pipelines, preprocessing workflows, feature-engineering strategies, reusable data services, and machine learning capabilities within secure, containerized environments.
The successful candidate will collaborate with product managers, full-stack developers, platform and DevSecOps engineers, data scientists, and mission stakeholders to transform structured and unstructured data into operational insights and decision-support capabilities. The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous delivery.
Clearance: Top Secret clearance required ability to obtain SCI.
Location: Full time onsite at the Pentagon in Washington DC.
Key Responsibilities
  • Design, develop, and maintain reusable services for data ingestion, transformation, preprocessing, and feature engineering supporting AI/ML workflows.
  • Build scalable data pipelines and workflows supporting structured and unstructured mission data.
  • Implement data science capabilities such as entity resolution, classification, clustering, prediction, anomaly detection, pattern recognition, and decision-support functions.
  • Develop services within secure, containerized environments using established CI/CD, version-control, testing, and documentation standards.
  • Collaborate with DevSecOps engineers to integrate data and ML services into secure production environments using technologies such as Databricks, Docker, and Terraform.
  • Ensure production services meet applicable performance, reliability, security, and architectural requirements for DoD enterprise and cloud-native environments.
  • Develop and deploy standalone and embedded machine learning models supporting mission decision-making, automation, anomaly detection, and pattern recognition.
  • Select and implement appropriate modeling approaches using Python, Spark, and cloud-native ML frameworks such as SageMaker and MLflow.
  • Maintain reproducibility and interpretability of model outputs to support mission transparency and audit requirements.
  • Package model-inference services using documented APIs for integration with end-user applications, operational dashboards, and other mission capabilities.
  • Conduct exploratory data analysis to identify patterns, trends, data gaps, and opportunities across structured and unstructured datasets.
  • Develop data visualizations, analytical outputs, and interpretive summaries supporting stakeholder understanding and product-team decisions.
  • Translate analytical findings into actionable recommendations using visual, narrative, and quantitative communication methods.
  • Develop and contribute reusable analysis templates, queries, and analytical workflows to improve delivery efficiency.
  • Engage product managers and mission users to define data, analytical, and model requirements aligned with operational objectives.
  • Collaborate with software, platform, and DevSecOps engineers to ensure data science components align with technical constraints, architecture, and deployment patterns.
  • Participate in Agile sprint planning, retrospectives, demonstrations, and related delivery activities.
  • Maintain documentation supporting technical accountability, reproducibility, operational handoff, and sustainment.

Required Qualifications
  • One of the following combinations of education, certification, and recent specialized experience:
    • Bachelor's degree plus 3 years of recent specialized experience; or
    • Associate's degree plus 7 years of recent specialized experience; or
    • Major certification plus 7 years of recent specialized experience; or
    • 11 years of recent specialized experience.
  • Experience with data visualization and data storytelling using tools such as Palantir MSS Workshop and Slate applications.
  • Proficiency with Python, SQL, and distributed data frameworks, including technologies such as Spark, Databricks, and PySpark.
  • Experience developing machine learning models from training through deployment using industry-standard tools and libraries such as scikit-learn, TensorFlow, and XGBoost.
  • Strong technical communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications
  • 4+ years of experience in applied data science, Palantir Foundry development, or data-pipeline development.
  • Familiarity with MLOps, API development, and secure cloud-based environments, including AWS, Azure, or Palantir Foundry.
  • Strong understanding of data validation, model testing, and performance-evaluation techniques.

Benefits:
Expression offers competitive salaries and benefits, such as:
  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement up to $10,000/yr
  • Complimentary life insurance
  • Generous PTO and 11 days of holiday leave
  • Onsite gym facility
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee

About Expression:
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.
Equal Opportunity Employer/Veterans/Disabled
Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

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