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Data Science Graduate Jobs in Washington (NOW HIRING)

Senior Data Scientist

Alexandria, VA · On-site

$131.30 - $237.35/hr

Senior Data Scientist Are you ready to thrive? Through training, teamwork, and exposure to ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Senior Data Scientist

Rockville, MD · On-site

$131.30 - $237.35/hr

Senior Data Scientist Are you ready to thrive? Through training, teamwork, and exposure to ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Contingent Senior Data Scientist - Top Secret

Alexandria, VA · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Category: Data Science Travel Required: No Remote Type: No Position is contingent upon contract ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Contingent-Senior Data Scientist - Top Secret

Rockville, MD · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Category: Data Science Travel Required: No Remote Type: No Sunayu, LLC is looking for a Data ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Senior Data Scientist-RWE

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At least 7 years of related experience, with SAS programming experience. 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life ...

Senior Data Scientist-RWE

Washington, DC · On-site

$126K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... graduate-level research experience) applying data science in healthcare, HEOR, or life sciences. • Proven ability to translate complex findings into clear, decision-ready insights to support payer ...

Senior Data Scientist-RWE

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At least 7 years of related experience, with SAS programming experience. * 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life ...

Data Scientist - NLP / Generative AI

Arlington, VA · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Jobs / Data Scientist - NLP / Generative AI Data Scientist - NLP / Generative AI Full-time About ... Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a ...

Senior Data Scientist

Rockville, MD · On-site

$150 - $190/hr

... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ... data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML ...

Senior Data Scientist

Rockville, MD · Hybrid

$131K - $237K/yr

As a Senior Data Scientist, you will : * Lead the design, development, and deployment of advanced ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Senior Data Scientist

Rockville, MD · On-site

$131K - $237K/yr

As a Senior Data Scientist, you will : * Lead the design, development, and deployment of advanced ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Senior Data Scientist

Alexandria, VA · Hybrid

$131K - $237K/yr

As a Senior Data Scientist, you will : * Lead the design, development, and deployment of advanced ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Showing results 41-60

Data Science Graduate information

See Washington salary details

$42.5K

$139K

$222.6K

How much do data science graduate jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science graduate 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.

What is a data science graduate?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.

What does a data science graduate do?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

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

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

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

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

Infographic showing various Data Science Graduate job openings in Washington as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Scientist (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING)

USAJOBS - Search

Fort Belvoir, VA • On-site

$125K/yr

Full-time, Part-time

Posted 13 days ago


Job description

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806
Qualifications:To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.Employment Type: OTHER