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Data Science Major Jobs in Virginia (NOW HIRING)

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering ... S. or PhD in a quantitative or STEM related major * Experience with large scale ETL from multiple ...

... major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience Required Skills * 4+ years of experience in applied data science, machine learning ...

... major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience Required Skills * 4+ years of experience in applied data science, machine learning ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Implement data science capabilities such as entity resolution, classification, clustering ... Major certification plus 7 years of recent specialized experience; or * 11 years of recent ...

Data Engineer

Arlington, VA · On-site

$120 - $180/hr

Implement data science capabilities such as entity resolution, classification, clustering ... Major certification plus 7 years of recent specialized experience; or * 11 years of recent ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Implement data science capabilities such as entity resolution, classification, clustering ... Major certification plus 7 years of recent specialized experience; or * 11 years of recent ...

Data Engineer

Falls Church, VA · On-site

$150 - $175/hr

Top Secret, Must Have Clearance to Start Agile Defense is seeking a Data Scientist / Engineer to ... major certification plus 7 years of recent specialized experience, OR, 11 years of recent ...

New

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Implement data science capabilities such as entity resolution, classification, clustering ... Major certification plus 7 years of recent specialized experience; or * 11 years of recent ...

Showing results 41-60

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 Virginia?

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

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

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

Infographic showing various Data Science Major job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$109K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Security Clearance: Active TS/SCI with FS Polygraph required
Position
Seeking a Data Scientist to support an Intelligence Client.
What You'll Do
  • Assemble large, complex sets of data to meet functional and other requirements
  • Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
  • Construct and perform complex database search queries in multiple databases using SQL and API interfaces
  • Curate and maintain data stores in support of metrics and evaluation
  • Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
  • Communicate and/or present product insights to technical and non-technical individuals

Required
  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
  • Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas)
  • Proficiency using mathematical, statistical, or other data-driven analysis
  • Proficiency with APIs; both development/update of internal APIs and use of external APIs
  • Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
  • Experience in applying qualitative and quantitative data analysis methods to analytics problems
  • Critical thinking and problem-solving skills for datasets which are unstructured
  • Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
  • Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
  • Proficiency working independently or as a member of a team to research, organize, and analyze information
  • Must have strong interpersonal and communication skills

Desired
  • Experience with transforming, manipulating, and combining data using a programming language, such as Python
  • Experience with using git, or similar version control systems
  • Experience with extract, transform and load (ETL) development for data ingest pipelines
  • Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
  • Experience with CI/CD pipelines
  • Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them
  • Experience providing analytical judgement and trend analysis based on research and comparisons with past products.Experience with the Sponsor's data handling procedures
  • Experience translating customer requirements into project or system specifications

Useful Addtional Skills and Experience
  • M.S. or PhD in a quantitative or STEM related major
  • Experience with large scale ETL from multiple sources
  • Experience with AWS or cloud computing; experience developing and deploying code in a cloud-based environment.
  • Experience with Docker or containers
  • Experience with Databricks
  • Experience with Graph Databases (e.g. Neo4j, Neptune)
  • Experience with Graph Analytics
  • Experience with Kubernetes
  • Experience with Spark
  • Experience programming with distributed computing
  • Demonstrated experience working with sponsor business or mission data, sponsor applications, or sponsor database structures

Pay
  • Target Salary Range: $109,000 to $200,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors

What You'll Love About Apogee
  • Challenging work in support of US Intel Community - a Mission that Matters!
  • Access to our cool ApogeePlex facility
  • Support for new ideas & encouragement to take risks
  • Professional Development Assistance (PDA)
  • Wicked smart and collaborative coworkers
  • Regular interfacing with company leadership
  • 401(k) with huge company match
  • Paid Time Off / Fixed & Floating Holidays
  • Medical, Dental, Vision
  • Health Savings Accounts / Dependent Care Flexible Spending Accounts
  • Life Insurance, Disability (Short and Long Term), Accidental Death and Dismemberment (AD&D)

Apogee's Mission
  • Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
  • Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
  • Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity Employer