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Data Science Jobs in Washington (NOW HIRING)

Data Science SME

Quantico, VA ยท On-site

$119K - $133K/yr

What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision-making, and operational effectiveness ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Data Science Tutor

Washington, DC ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Leesburg, VA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Fairfax, VA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Alexandria, VA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

College Park, MD ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Bowie, MD ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Rockville, MD ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Laurel, MD ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

This role will lead multiple data science team members with a significant portfolio of initiatives to design, develop, and scale advanced analytics, machine learning, and AI solutions that drive ...

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Showing results 1-20

Data Science information

See Washington salary details

$42.5K

$139K

$222.6K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Washington? The most popular types of Data Science jobs in Washington are:
What cities in Washington are hiring for Data Science jobs? Cities in Washington with the most Data Science job openings:
Infographic showing various Data Science job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Science SME

JCTM, LLC

Quantico, VA โ€ข On-site

$119K - $133K/yr

Full-time

Posted 20 days ago


Job description

The Challenge:

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision-making, and operational effectiveness across the Marine Air-Ground Task Force?

Build Your Career:

At JCTM we value knowledge experience integrity and commitment. Joining our team means becoming part of an organization that empowers individuals prioritizes ethical practices and fosters a culture of collaboration and growth.

Challenging Projects:

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and leadership in the application of data science methodologies tools and techniques to advance Marine Corps warfighting concepts and capabilities. This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational and senior leader audiences. You will support the Marine Corps Warfighting Lab in identifying evaluating and applying emerging data-driven technologies to improve MAGTF effectiveness.

Key Responsibilities:

  • Serve as the primary technical expert on data science methodologies tools and techniques for MCWL projects initiatives experiments and exercises.
  • Identify and evaluate emerging data science technologies and assess their potential application to Marine Corps warfighting challenges.
  • Develop and implement data-driven solutions to improve MAGTF operational effectiveness including predictive analytics machine learning and artificial intelligence applications.
  • Design execute and optimize data collection processing and analysis pipelines while ensuring data quality integrity governance and security.
  • Develop and apply advanced analytical methods to extract meaningful insights from large structured and unstructured datasets.
  • Collaborate with data engineers software developers cloud engineers operational planners and other technical experts to build deploy and evaluate data-driven solutions.
  • Communicate complex technical concepts findings and recommendations to both technical and non-technical audiences including senior military leaders.
  • Conduct research and analysis on relevant data science topics maintaining awareness of the latest developments trends tools and techniques.
  • Support the development of data science training programs and knowledge-sharing activities for Marine Corps personnel.
  • Participate in war games experiments exercises and other operational assessments to evaluate the effectiveness of data-driven capabilities.
  • Provide expert advice and guidance on data governance data security data privacy and responsible use of artificial intelligence and machine learning capabilities.
  • Maintain awareness of and compliance with all applicable data security regulations policies and classification requirements.
  • Integrate data science capabilities with cloud-based infrastructure platforms and modern analytics environments.
  • Travel to various locations as required to support MCWL projects initiatives experiments and operational activities.

State-of-the-Art Technology:

Expand your expertise by working with cutting-edge technologies and methodologies optimizing their application in a dynamic environment.

New Skills:

Collaborate with a diverse team of technical and functional experts gaining practical experience with advanced tools technologies and strategic-level implementations.

Room to Grow:

You will have opportunities to grow your career and contribute to the company's strategic goals supported by mentorship and a collaborative work environment.

You Have:

  • Bachelor's degree in Computer Science Data Science Mathematics Statistics or a related technical field.
  • 5+ years of experience applying data science methodologies tools and techniques to solve real-world problems.
  • Demonstrated expertise in data mining machine learning statistical modeling predictive analytics and data visualization.
  • Experience working with large datasets distributed computing platforms and modern analytics environments.
  • Strong understanding of data governance data security privacy principles and responsible data management.
  • Experience developing data pipelines analytical workflows and repeatable processes to support decision-making.
  • Ability to translate complex data and technical findings into actionable insights for operational technical and senior leader audiences.
  • Excellent communication presentation analytical and interpersonal skills.
  • Ability to work independently and as part of a multidisciplinary team in a mission-focused environment.
  • Knowledge of the Marine Corps MAGTF organization operations and warfighting concepts.
  • U.S. Citizenship.
  • Ability to travel up to 25% in support of mission requirements.

Nice to Haves:

  • Active TS/SCI security clearance.
  • Master's or Doctoral degree in Computer Science Data Science Mathematics Statistics Operations Research or a related technical field.
  • Experience with cloud-based data science platforms and cloud-native analytics tools.
  • Experience with artificial intelligence machine learning model development and deployment.
  • Experience with natural language processing.
  • Prior military experience particularly within the Marine Corps.
  • Familiarity with Marine Corps data systems processes experimentation environments and operational planning activities.

Clearance:

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance is desired.

Equal Opportunity Employer Statement:

JCTM is an Equal Opportunity Employer that empowers our people to fearlessly drive internal and external change while supporting the safety and security of our great nation.