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Data Science Research Assistant Jobs in Virginia

Elder Research

Data Scientist

Arlington, VA · On-site

... Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a ... Help strengthen the client's internal data-science capability through pairing, code review ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a ... Help strengthen the client's internal data-science capability through pairing, code review ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a ... Help strengthen the client's internal data-science capability through pairing, code review ...

NATO

Staff Officer (Data Science)

Norfolk, VA · On-site

MSc/PhD in statistics, applied mathematics, computer science, operational research, economics or ... conceptual thinking, data visualisation expertise, and problem-solving ability. Effective ...

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Data Science Research Assistant information

See Virginia salary details

$8

$21

$31

How much do data science research assistant jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data science research assistant in Virginia is $21.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $25.24 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are popular job titles related to Data Science Research Assistant jobs in Virginia?

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

What job categories do people searching Data Science Research Assistant jobs in Virginia look for?

The top searched job categories for Data Science Research Assistant jobs in Virginia are:

What cities in Virginia are hiring for Data Science Research Assistant jobs?

Cities in Virginia with the most Data Science Research Assistant job openings:

Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $45,180 per year, or $21.7 per hour.

Data Science - Advisor / SME

Technology Ventures

Reston, VA • On-site

Other

Posted 18 days ago

Key responsibilities

  • Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses supporting finance processes.

  • Research, evaluate, and perform credit-related analyses for expected and stress scenarios, including CECL and DFAST.

  • Coordinate activities with product, business, data engineering, and platform teams to understand business needs and data capabilities.

Job description

Job Title : Data Science - Advisor / SME
Location : 3 days onsite / week 1100 15th Street Northwest VA USA 20190 Duration : 6 Months Contract to start
Description:
  • The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
  • Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.
  • Research and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.
  • Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.
  • Ensure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
  • Build predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
  • Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
  • Oversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
  • Ensure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.
Minimum Required Experiences
Total 10 years and 6 years in Data Science
Desired Experiences
Bachelor degree or equivalent
A Master's degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies
  • Familiarity with advanced techniques including machine learning and natural language processing (NLP)
  • Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
  • Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
  • Ability to build and maintain strong business relationships with partners
  • Strong written and verbal communication skills
  • Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
  • Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
  • Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
  • Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
  • Expertise in visualizing data to identify, summarize and explain observed data patterns

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