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Data Science Graduate Jobs in Washington (NOW HIRING)

... Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. • Active TS and ...

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Data Scientist - TS/SCI

Bethesda, MD · On-site

$140K - $160K/yr

... Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. * Active TS and ...

... Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. * Active TS and ...

Senior Data Scientist

Arlington, VA · On-site

$100K - $175K/yr

TPS teams are bringing automation and data science into areas of the government that are crying out ... Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and ...

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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 Jul 14, 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 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.

What types of projects and responsibilities can a Data Science Graduate expect in their first role?

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, and why are they important?

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 are Data Science Graduates?

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.
Data Scientist - TS/SCI

Data Scientist - TS/SCI

VMD Corp

Bethesda, MD • On-site

Full-time

Posted 20 days ago


Job description

Job Summary:
VMD Corp is seeking a Data Scientist to support ongoing and future programs in research and advanced machine learning. The role involves designing and optimizing a Data Science platform, analyzing big data, and delivering findings to a non-technical audience.
Responsibilities:
• Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
• Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
• Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.
• Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
• Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement.
Qualifications:
Required:
• B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.
• Active TS and ability to obtain a TS/SCI with Polygraph.
• Experience in data science, analytics or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes
• Proficiency in one or more scripting languages such as Python
• Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
• Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL)
• Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
• Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won’t fit in memory.
• Track record of active learning and creative problem solving
• Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.
• Familiarity using git or other version control technologies
• Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision
Preferred:
• A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
• Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics
• Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.
• Experience developing predictive algorithms, image classifiers, object detectors, and others.
• Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
• Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.
• Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)
• Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.
Company:
About VMD VMD, now a part of Xcelerate Solutions, is a leading defense and national security company, delivering integrated solutions in enterprise security, strategic consulting, and digital transformation. Founded in 2002, the company is headquartered in Fairfax, USA, with a team of 501-1000 employees. The company is currently Late Stage.