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Data Science Analyst Intern Jobs in Virginia (NOW HIRING)

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in ...

Prescient Edge

Business Analyst Intern

Mclean, VA · On-site

This role will assist in gathering detailed data and provide recommendations management. The ... computer science, or a related area * Must be a US citizen * Strong Microsoft Office Suite ...

Prescient Edge

Business Analyst Intern

Mclean, VA

This role will assist in gathering detailed data and provide recommendations management. The ... computer science, or a related area * Must be a US citizen * Strong Microsoft Office Suite ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic ...

ECS

BD & AI Analysis Intern

Fairfax, VA · On-site

Everforth ECS is seeking a BD & AI Analysis Intern to work hybrid in our Fairfax, VA office. ECS ... B achelor's degree in Economics, Data Sciences, Business, Management Information Systems, History ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational ...

Fanniemae

Data Science Advisor

Reston, VA · On-site

Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction. * Design, test, and validate audit solutions using ...

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Data Science Analyst Intern information

What does a Data Science Analyst Intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a Data Science Analyst Intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a Data Science Analyst Intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Virginia? For Data Science Analyst Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Analyst Intern jobs in Virginia look for? The top searched job categories for Data Science Analyst Intern jobs in Virginia are:
What cities in Virginia are hiring for Data Science Analyst Intern jobs? Cities in Virginia with the most Data Science Analyst Intern job openings:
Data Science Analyst Intern jobs near you
Infographic showing various Data Science Analyst Intern job openings in Virginia as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

Full-time

Posted 17 days ago

Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
Responsibilities
The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following:
  • Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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