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Data Science Major Jobs in Virginia (NOW HIRING)

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Reston, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Reston, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

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 Python; managing and merging of ...

Senior Data Scientist

Herndon, VA · On-site

$135K - $216K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Senior Data Scientist

Herndon, VA · On-site

$135K - $216K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Senior Data Scientist

Reston, VA · On-site

$135K - $216K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

$49K/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 ...

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Data Science Major information

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 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 jobs can I get if I study data science?

A data science major can qualify for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming languages like Python or R, statistical analysis, and experience with data visualization tools and databases.

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 jobs can you do with data science?

Data science majors can pursue 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, often with relevant certifications or advanced degrees.

What kind of job can you get with a data science degree?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.

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 are the careers in data science?

Careers in data science include roles such as data scientist, data analyst, machine learning engineer, and data engineer. These positions involve analyzing large datasets, developing models, and using tools like Python, R, and SQL to extract insights and support decision-making in various industries.
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 job categories do people searching Data Science Major jobs in Virginia look for? The top searched job categories for Data Science Major jobs in Virginia are:
What cities in Virginia are hiring for Data Science Major jobs? Cities in Virginia with the most Data Science Major job openings:
Data Scientist

Data Scientist

Peraton

Herndon, VA • On-site

$112K - $179K/yr

Full-time

Posted yesterday


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

47th of 207 rated it services


Job description

Responsibilities

The Data Scientist utilizes expertise in discovering and analyzing complex data sets and data sources to derive actionable insights using statistical methods, machine learning and data visualization tools. Responsibilities are, but are not limited to: 

  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. 
  • Utilize scientific techniques to correlate data into graphical, written, visual and verbal narrative products to inform high quality analytic decisions. 
  • Proactively retrieve data from various sources and analyze data for better understanding. 
  • Build and utilize Artificial Intelligence (AI)/ Machine Learning (ML) tools to automate processes for efficiencies. 
  • Build high quality prediction systems. 
  • Utilize data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau. 
  • Utilize major data science languages, such as R and Python. 
  • Perform management and merging of disparate data sources, preferably through R, Python, or SQL.  
  • Perform statistical analysis, and data mining algorithms. 
Qualifications

Required Qualifications: 

  • Bachelor's degree in a relevant field, such as Data Science, with a minimum of 8 years of work experience. 
  • Experience in data visualization and use of graphical applications, including Microsoft Office Power BI and Tableau. 
  • Experienced in major data science languages, such as R and Python. 
  • Experienced in managing and merging disparate data sources, preferably through R, Python, or SQL. 
  • Experienced in statistical analysis and developing data mining algorithms. 
  • Experienced with large data multi-INT analytics, ML, and automated predictive analytics. 
  • Experienced in algorithm development, data structures, and software development practices. 
  • Working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production. 
  • Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions. 
  • Ability to work collaboratively with users and stakeholders. 
  • Capacity to adapt to changing situations to prioritize tasks effectively. 
  • Excellent communication, analytical, and problem-solving skills. 

Preferred Qualifications: 

  • Master's degree in a relevant field, such as Data Science. 
  • Professional or graduate certificate in Data Science from a university or major online learning platform, 
  • Experience working in the customer environment is preferred. 

Security Clearance:  

This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.  

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017