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Data Science Research Assistant Jobs in Washington

Swayable

Research Data Scientist

Washington, DC · On-site

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. As a Research Data Scientist, you will conduct ...

Howard University

Research Assistant

Washington, DC · On-site

$21 - $31/hr

The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in ...

cna

Research Assistant

Arlington, VA · Hybrid

$22.25 - $30.50/hr

... research personnel on an ad hoc basis. 9. Develop basic knowledge about CNA, its organization, key ... Physical sciences, data science, or other technical fields are preferred. 2. Experience: Minimum 1 ...

Virginia Spine Institute)

Senior Research Assistant

Reston, VA · On-site

$20.25 - $28/hr

Analyze data using statistical or qualitative analysis tools. * Prepare reports, presentations, and ... Bachelor's or Master'sdegree in a relevant field (e.g., social sciences, public health, biology ...

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

As of Aug 12, 2026, the average hourly pay for data science research assistant in Washington is $24.81, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $28.85 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 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 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 are the most commonly searched types of Data Science Research jobs in Washington? The most popular types of Data Science Research jobs in Washington are:
What are popular job titles related to Data Science Research Assistant jobs in Washington? For Data Science Research Assistant jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Washington look for? The top searched job categories for Data Science Research Assistant jobs in Washington are:
What cities in Washington are hiring for Data Science Research Assistant jobs? Cities in Washington 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 Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $51,614 per year, or $24.8 per hour.

Research Data Scientist

Swayable

Washington, DC • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. As a Research Data Scientist, you will conduct data science research, develop tools for insights in experimental data, and communicate findings to support major organizations.
Responsibilities:
• Conduct data science research to push our experimental methodologies to the bleeding edge of social science
• Develop robust tools to uncover insights in experimental data
• Prototype data science improvements to core platform features
• Communicate the results of data science investigations to both internal and external stakeholders
Qualifications:
Required:
• Fluency in the python data science stack
• Expertise in statistical, analytical, and data science methods
• Excellent communication and data visualization skills
• Ability to work independently, prioritizing multiple important tasks/deadlines
• A keen eye for the 20% of effort that delivers 80% of the results
• Being a flexible team player whose values align with ours
Preferred:
• Experience writing and reviewing production-quality python code.
• Experience working in a fast-moving startup environment
• Experience interacting with MongoDB databases
• Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field.
Company:
Swayable is a creative testing platform that measures persuasion. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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