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Data Science Major Jobs in Washington (NOW HIRING)

US Department of Commerce

Data Scientist

Alexandria, VA · On-site

$143K/yr

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 ...

Department of Labor

Data Scientist

Washington, DC · On-site

$143K/yr

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 ...

Patent and Trademark Office

Data Scientist

Alexandria, VA · On-site +1

$143K - $187K/yr

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 ...

AIToolboard

Data Scientist, Lead

Washington, DC · On-site

$120 - $190/hr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

NALLEY CONSULTING

Data Scientist - Sr

Washington, DC · On-site

Active TS/SCI clearance with active CI poly conducted within the past seven years. • 3+ years of experience with major data science languages, such as Python and R. • 3+ years of experience ...

BigBear.ai

Data Scientist, Lead

Washington, DC · On-site

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Leidos

Data Scientist

Bethesda, MD · On-site

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Bigbear.ai

Data Scientist, Lead

Washington, DC · On-site

$142K/yr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Pae

Data Scientist - Mid

Washington, DC · On-site

$120K - $160K/yr

Skill in major data science languages, including R and Python, and in managing and merging disparate data sources through R, Python, or SQL * Proficiency in data visualization tools including Power ...

Amentum

Data Scientist - Mid

Washington, DC · On-site

$120K - $160K/yr

Skill in major data science languages, including R and Python, and in managing and merging disparate data sources through R, Python, or SQL * Proficiency in data visualization tools including Power ...

B&A

Lead Data Scientist

Suitland, MD · On-site

This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning ...

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All JobsData Science Major JobsData Science Major Jobs in Washington

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

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

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are popular job titles related to Data Science Major jobs in Washington?

For Data Science Major jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Science Major jobs in Washington look for?

The top searched job categories for Data Science Major jobs in Washington are:

What cities in Washington are hiring for Data Science Major jobs?

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

Data Science Major jobs near you
Infographic showing various Data Science Major 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.

Data Scientist

Alexandria, VA • On-site

US Department of Commerce
Public Administration • 10K+ employees

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

126th of 851 rated public administrative organizations

Great coworkers

People enjoy working here

Good employer

Learn more about US Department of Commerceexternal

$143K/yr

Full-time

Re-posted 12 days ago

Job description

This position is located in the U.S. Patent and Trademark Office, Office of the Chief Financial Officer, Office of Finance (OF). The primary mission of the USPTO is to build for the future and promote U.S. competitiveness in the global marketplace by protecting and strengthening intellectual property rights world-wide. The OCFO oversees USPTO's financial management, advising the Under Secretary and Director on planning, budgetary, financial, and procurement matters.
Qualifications:You must meet the United States Office of Personnel Management's (OPM) qualification requirements (including specialized experience and/or educational requirements) for the advertised position. You must meet all eligibility and qualifications requirements by the closing date of the job announcement. OPM Qualifications Standards are available at Data Scientist Series 1560.
Basic Requirements:
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.
Or
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience
Specialized Experienceis experience that has equipped applicants with the particular knowledge, skills and abilities to successfully perform the duties of the position, and that is typically in or related to the position to be filled. To be creditable, specialized experience must have been equivalent to at least the next lower grade level in the federal service. For this position, the next lower grade level is a GS-13.
Specialized experience for this position includes:
  • Experience directing enterprise-wide data science initiatives and strategic data analysis programs;
  • Experience designing and implementing data science frameworks, standards, and governance policies across multiple organizational units; and
  • Experience using data science best practices and advising executive leadership on data-driven strategic decisions.
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:

Education may not be substituted for experience at this grade level. If this position requires proof of higher education, or you are substituting education for experience, you must submit an unofficial transcript or a list of courses that includes the following information: name of accredited institution, grades earned, completion dates, and quarter and semester hours earned. Education completed in foreign colleges or universities may be used to meet the requirements. Please refer to General Schedule Qualification Policies for more information. You are not required to submit official documents at this time; copies are sufficient.
Special Instructions for Foreign Education: Qualifying education from colleges and universities in foreign countries must be evaluated in terms of equivalency to that acquired in U.S. colleges and universities. Applicants educated in whole or in part in foreign countries must submit sufficient evidence, including transcripts, to an accredited private organization for an equivalency evaluation of course work and degree. A listing of these accredited organizations can be found on the Department of Education's website - US Department of Education. Another listing of services that can perform this evaluation is available at the National Association of Credential Evaluation Services (NACES) website. You must provide a copy of the letter containing the results of the equivalency evaluation with a course by course listing along with your application. Failure to provide such documentation when requested will result in lost consideration.
NOTE: Only education and experience acquired before the filing deadline will be considered. Report only attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Basic Requirements: 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. Or B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience

Employment Type: OTHER

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