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Data Science Graduate Jobs in Virginia (NOW HIRING)

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Data Science Graduate information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do data science graduate jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science graduate in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 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 Virginia as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist - Multi-level - TS clearance in order to apply

Bow Wave LLC

Centreville, VA • On-site

Full-time

Re-posted 11 hours ago


Job description

Senior Program Management Specialist (Data Analyst)- (TOP SECRET Level):
This position is tasked with compiling data from multiple sources within the Drug Enforcement Agency's Special Operations Division.
This position requires experience in the logistics supply chain (maritime, land, air) and familiarity with the corresponding data sets.
The Analyst should have the ability to collect, standardize large disparate sets of data, and identify relevant fields that correspond with DEA investigative data.
Additionally, the analyst must have experience in geospatially demonstrating results through creating maps with points, keys, and legends that demonstrate criminal phenomenon from field agents, analysts, and HQ.
Furthermore, the analyst must have experience with DEA data sources and developed methods to find, harvest, combine, and move target rich data into analytical tools such as Microsoft's Power Query and IBM's Analyst's Notebook.
The individual must have experience in non-DEA data sources such as FinCEN, Southwest Border TRAC, Western Union data, CLEAR, and Department of Transportation (DOT) records.
In order to perform assigned duties, this individual will have access to classified computer networks, such as Merlin to retrieve/review information and will be required to attend classified briefings given by DEA and other Federal Agencies.
Due to the nature of this work, it is not feasible to minimize the access to only a Non-Disclosure Agreement. Based on the operational needs and job requirements, this position needs to have a TOP SECRET clearance level.

Qualifications
5+ (Mid) and 10+ (Sr / SME) years of experience in data analysis; law enforcement analysis of transportation and finances in relation to drug trafficking data desired.
3+ years of experience participating in projects/investigations.
A Bachelor's Degree. A graduate degree or applicable work experience in data science is desirable.