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Applied Data Science Jobs in Washington (NOW HIRING)

Applied Data Scientist

Arlington, VA · On-site

$99 - $225/hr

Applied Data Scientist The Opportunity: As a data scientist, you're excited about building ... Work with us as we use data science for good. Join us. The world can't wait. * Experience develop ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Take ownership of data science projects from initial problem definition and hypothesis building to ...

Applied Data Scientist

Arlington, VA · On-site

$99K - $225K/yr

R0242962 Applied Data Scientist The Opportunity: As a data scientist, you're excited about building ... Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience ...

Data Scientist

Mclean, VA · On-site

$125 - $190/hr

The ideal candidate blends practical applied data science with strong judgment around interpretability, traceability, and operational usability. This position is fully remote however travel in the ...

Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn * Applied experience with Databricks and/or Azure ...

Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn * Applied experience with Databricks and/or Azure ...

... applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • ...

Data Engineer

Arlington, VA

$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 ...

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 ...

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Showing results 1-20

Applied Data Science information

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 cities in Washington are hiring for Applied Data Science jobs?

Cities in Washington with the most Applied Data Science job openings:

Infographic showing various Applied Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Applied Data Scientist

Arlington, VA • On-site


Booz Allen Hamilton
IT Services • 10K+ employees

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students


$99 - $225/hr

Other

Medical, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Applied Data Scientist

The Opportunity:
As a data scientist, you’re excited about building intelligent systems, not just analyzing data. You’re motivated to design, develop , and deploy machine learning and AI-driven capabilities that operate in real-world environments. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you’ll transform these data into operational systems by develop ing algorithms, training models, and deploying solutions that perform reliably at scale.

On our team, you’ll work closely with clients to understand mission needs and translate them into technical solutions. You’ll design and implement machine learning models, build supporting data pipelines, and deploy capabilities into production environments. You’ll apply a mix of statistical met hods, machine learning, and sof tware engineering to deliver end-to-end solutions. You’ll help move beyond analysis to create robust, maintainable AI and ML systems that deliver measurable impact.

Work with us as we use data science for good.

Join us. The world can’t wait.

  • Experience develop ingmachine learning or AI algorithms and applying pre-built models
  • Experience building and deploying ML and AI solutions intoproduction or operational environments
  • Experience designing and implementingend-to-end ML pipelines, including data ingestion, training, evaluation, and deployment
  • Experience writing production-quality code in languages, such as Python
  • Experience working with structured and unstructured data at scale
  • Experience applying techniques such as optimization, simulation, or advanced machine learning met hods
  • Experience working in Linux-based or cloud-based environments
  • Experience using modern sof tware engineering practices, such as Git, testing, or CI / CD
  • Ability to obtain a Secret clearance
  • Bachelor's degree
  • Experience with deep learning, reinforcement learning, or advanced AI techniques
  • Experience building or fine-tuning custom models
  • Experience with containerization and deployment tools, such as Docker and Kubernetes
  • Experience with distributed data processing tools, such as Spark and Kafka
  • Experience integrating ML and AI capabilities into larger sof tware systems
  • Experience with optimization frameworks or simulation-based modeling
  • Experience working with DoW customers
  • Experience communicating complex technical concepts to non-technical stakeholders
  • TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914


What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

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