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Applied Data Science Jobs in Washington (NOW HIRING)

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 +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

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: * 5+ years ...

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 Architect

Washington, DC · On-site

$72.25 - $92.75/hr

Eight (8) years relevant experience in applied data science research or big data analytics. * Bachelor's Degree in Computer Science, Engineering, Information Systems or related technical discipline.

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 ...

... data science lifecycle • Research, transform, organize, and optimize data for use by machine ... Required : • 4+ years of applied data research, modeling, evaluation, and deployment to ...

... data science lifecycle • Research, transform, organize, and optimize data for use by machine ... Required : • 4+ years of applied data research, modeling, evaluation, and deployment to ...

... data science lifecycle • Research, transform, organize, and optimize data for use by machine ... Required : • 4+ years of applied data research, modeling, evaluation, and deployment to ...

... 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 Scientist

Vienna, VA · On-site

$137K - $155K/yr

... data science framing activities, including but not limited to working with partners to identify ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

... data science framing activities, including but not limited to working with partners to identify ... MSc or PhD degree in applied mathematics, statistics, or relevant work experience. * An active ...

Implement best practices, policies, and procedures to develop a production-focused data science ... applied data research, modeling, evaluation, and deployment to production * 4+ years of ...

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Applied Data Science information

What are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

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 is the salary of applied data scientist?

The average salary of an applied data scientist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and data analysis can earn higher salaries.

What does applied data science do?

Applied data science involves using data analysis, statistical methods, and machine learning techniques to solve real-world problems and inform decision-making. Professionals in this field work with large datasets, programming tools like Python or R, and often collaborate with business teams to develop actionable insights. It requires strong analytical skills and knowledge of data management and modeling.

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 jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the key skills and qualifications needed to thrive in the Applied Data Science position, and why are they important?

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 is an Applied Data Science job?

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 are popular job titles related to Applied Data Science jobs in Washington? For Applied Data Science jobs in Washington, the most frequently searched job titles are:
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 June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Applied Data Scientist

Applied Data Scientist

Shift5

Arlington, VA • On-site, Remote

$120K - $170K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 8 days ago


Job description

About Shift5

Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance.

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role, your primary responsibility will be to collaborate with customers and internal stakeholders to discover critical insights, deconstruct complex business problems into testable hypotheses, and build end-to-end data science solutions that scale back into Shift5’s core product line.

What You\'ll Do
  • End-to-End Project Scoping: Take ownership of data science projects from initial problem definition and hypothesis building to final, actionable deliverable.
  • Product Generalization: Take one-off customer insights and solutions and build them back into the broader, deployable suite of Shift5 core products.

  • Cross-Functional Collaboration: Partner with embedded analysts, deployment strategists, and forward-deployed engineers to translate complex analyses into immediate customer value.

  • Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends, and break new ground in leveraging operational data for diagnosis and prediction.

  • System Optimization: Work closely with programmers, engineers, and leadership to identify process improvements, propose system modifications, and devise long-term data strategies.

What Success Looks Like
  • You are proactive at identifying critical open questions and customer needs - often far ahead of the customer’s own articulation of them.
  • You maintain a "no task too small" mindset, successfully managing multiple engagements simultaneously while staying focused on scalable solutions.

  • You efficiently break down unstructured, highly ambiguous problems into smaller, manageable parts and execute them independently.

What We’re Looking For
  • Technical Skills: Fluency in a generic analytics coding language (Python, SQL, R, or Matlab) and strong data needs analysis skills (identifying data and technical tests required to validate hypotheses).
  • Communication & Mindset: Excellent communication skills with a track record of translating highly technical information for non-technical audiences. A humble, receptive attitude toward feedback.

  • Logistics: Ability and willingness to travel up to 40% of the time (US only).

  • Preferred Experience: Experience with time-series data, and a background/education blend (ideally a Master\'s or Doctorate program) in Data Science. Industry experience in defense, aerospace, or cybersecurity is a major plus.

Compensation & Benefits
  • Base Salary: $120,000 - $170,000

  • Bonus program and equity in a fast-growing startup

  • Competitive medical, dental, and vision coverage for employees and their families

  • Health Savings Account with annual employer contributions

  • Employer-paid Life and Disability Insurance 

  • Uncapped paid time off policy 

  • Flexible work & remote work policy 

  • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)  

We are committed to building an inclusive culture of belonging that embraces the diversity of our people and represents the communities in which we work and the customers we serve. We know the happiest and highest performing teams include people with diverse perspectives and ways of solving problems. We strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.   

Shift5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identify, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class.  

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