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Data Science Analytics Jobs in Washington, DC (NOW HIRING)

Leidos

Data Scientist

Silver Spring, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Takoma Park, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Bethesda, MD · On-site

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Rockville, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Chevy Chase, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Leidos

Data Scientist

Gaithersburg, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Peraton

Data Scientist

Washington, DC · On-site

$140 - $200/hr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related technical field. * 5+ years of professional experience in data science, analytics, or a related technical ...

GDIT

Data Science Analyst

Springfield, VA

$133K - $180K/yr

Yes We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile ...

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Showing results 21-40

All JobsData Science Analytics JobsData Science Analytics Jobs in Washington, DC

Data Science Analytics information

See Washington, DC salary details

$27

$62

$106

How much do data science analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science analytics in Washington, DC is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are the most commonly searched types of Data Science Analytics jobs in Washington, DC? The most popular types of Data Science Analytics jobs in Washington, DC are:
What are popular job titles related to Data Science Analytics jobs in Washington, DC? For Data Science Analytics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Washington, DC look for? The top searched job categories for Data Science Analytics jobs in Washington, DC are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.

Hiring our Heroes Skillbridge - Data Scientist

Systems Planning and Analysis

Alexandria, VA • On-site

Full-time

Re-posted yesterday

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
SPA provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to a variety of Government acquisition offices. These offices span throughout the Department of Defense to include major defense programs and new weapon technology development programs. Analysts and Engineers supporting these programs would continue SPA's decades of support to high-profile, major acquisition programs.
At SPA, we are committed to our nation's Military and Veterans through our partnership with Hiring Our Heroes, providing an opportunity for transitioning service members to gain valuable civilian work experience through an individual fellowship. The fellowship is open to all ranks and experience levels.
During this program, the service member will be on-site performing an individual externship in a mid to mid to senior-level career-type role. The service member will be receiving on the job training, supporting a work schedule equivalent to 32 hours per week. The program provides a comprehensive fellowship experience including professional development, networking with leadership, and training specifically focused on our leadership principles, company history, stakeholder engagement, product and service overview, and core job responsibilities. Our goal is to provide qualified individuals with a full-time offer at the conclusion of the Skillbridge Externship program.
Responsibilities
The successful candidate will be expected to shadow and provide advanced analytical support to SPA customers in the national security and homeland defense mission spaces, applying rational, systematic, science-based techniques, and critical thinking to help inform and improve decision-making. Candidates will be expected to apply principles of mathematics and statistics, computer science, software development, and the latest technologies to design and implement an analytical infrastructure and tools, workflow processes, and complex data visualizations.
The candidate may be required to:
  • Design and execute analytical methodologies leveraging modern tools accented with personal innovation
  • Use a variety of analytic tools and techniques to evaluate data and recommend actions to overcome challenges
  • Effectively communicate data and analytic related topics to technical and non-technical audiences
  • Develop or adopt data standards and frameworks to collect, integrate and link, and manage data
  • Implement data exploration techniques, analytical methods, operations research, and modeling and simulation tools to support program execution
  • Develop, deploy, manage, and document models and analytic methods
  • Create software code to extract and transform data for use in analysis
  • Develop automated analytic algorithms to assist with data management
  • Develop plans of action and timetables in order to meet established deadlines

Qualifications
Required Qualifications (multiple levels needed): Experience in assisting with the development of professional reports to impact decision-making and a current Secret clearance, as well as
Must be an active participant in the Hiring our Heroes Skillbridge Fellowship to be considered for the Externship.
Junior:
  • Bachelor's degree in math, physical or computer science, data science, analytics, or related STEM field
  • Up to 3 years of experience conducting data analysis and assessment and presenting results

Mid:
  • Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field
  • 4-10 years of experience conducting data analysis and assessment and presenting results

Senior:
  • Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field
  • 10+ years of experience conducting data analysis and assessment and presenting results

Desired Qualifications:
  • Top Secret Clearance
  • Advanced Degree
  • Expertise with at least one programming or query language such as R, Python, SQL, or Cypher
  • Proficiency with relational databases or NoSQL database
  • Previous experience working with a government agency
  • Experience using methodologies that support technology and investment decisions to improve national security mission success

Apply