ZipRecruiter

Log In

1

Data Science Major Jobs in Virginia (NOW HIRING)

Capital One

Director, Data Scientist

Mclean, VA · On-site

Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state-of ... major NLP and AI/ML conferences. Role Description In this role, you will: * Partner with a cross ...

Hobbsnews

Director, Data Scientist

Mclean, VA · On-site

$269.10 - $307.20/hr

Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state-of ... major NLP and AI/ML conferences. Role Description In this role, you will: * Partner with a cross ...

Capital One

Director, Data Scientist

Mclean, VA · On-site

Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state-of ... major NLP and AI/ML conferences. Role Description In this role, you will: * Partner with a cross ...

Knight Federal Solutions Inc

Data Scientist

Mclean, VA · On-site

$100 - $140/hr

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 Python; managing and merging ...

Apogee Integration, Llc

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 ...

previous pagenext page

Showing results 21-40

All JobsData Science Major JobsData Science Major Jobs in Virginia

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 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 Science Major jobs near you
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.

Data Scientist - Tech focus - Top Secret required to apply - DC area

Bow Wave LLC

Reston, VA • On-site

$165K - $175K/yr

Full-time

Re-posted 26 days ago

Job description

Conducts data analytics, data engineering, data mining, exploratory analysis, predictiveanalysis, and statistical analysis, and uses scientific techniques to correlate data into graphical,written, visual and verbal narrative products, enabling more informed analytic decisions.Proactively retrieves information from various sources, analyzes it for better understanding aboutthe data set, and builds AI tools that automate certain processes. Duties typically include:creating various ML-based tools or processes, such as recommendation engines or automatedlead scoring systems. Performs statistical analysis, applies data mining techniques, and buildshigh quality prediction systems. Should be skilled in data visualization and use of graphicalapplications, including Microsoft Office (Power BI) and Tableau; major data science languages,such as R and Python; managing and merging of disparate data sources, preferably through R,Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experiencewith large data Multi-INT analytics, ML, and automated predictive analytics. Contractor shall:• Create data packages, in the form of databases, reports, and visualization'• Communicate ongoing data science activities, technical findings, and data products for bothtechnical and non-technical customers• Extract relevant features from large data stores containing open source, PIA, and CAI,containing bad records, partial records, errors, or other forms of "noising."• Extract features from open source information stored in a wide range of possible formats,including JSON, XML, raw text logs, industry-specific encodings, and graph link data;• Apply natural language processing, computer vision, signal processing, and speaker and speechrecognition algorithms to identify objects in text, image, video, and audio files;• Apply descriptive and inferential statistics to describe data and makepredictions about the data, including statistical tests to determine confidence for a hypothesis,common summary statistics (e.g. mean, variance, and counts), fit distributions to datasets anduse those distributions to predict event likelihoods;• Be able to execute data science method using parallel computingframeworks (e.g. deepleaming4j, Torch, Tensor Flow, Caffe, Neon, NVIOFFICE CUDA DeepNeural Network library (cuDNN), and OpenCV)) and distributed data processing frameworks( e.g. Hadoop (including HDFS, Hbase, Hive, Impala, Giraph, Sqoop ), Spark (inlcuding MLib,GraphX, SQL and Dataframes)• Be able to execute data science method using common programming/scriptinglanguages: Python, Java, Scala, R (statistics).