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Part Time Data Science Research Assistant Jobs (NOW HIRING)

Research Assistant Location: 1 Washington Square North, NY, NY 10003 Part-Time: 10 hours/week ... Sireen Irsheid at the NYU Silver School of Social Work is seeking a Data Science Research Assistant ...

$19 - $26/hr

AND POSITION REQUIREMENTS The Social Science Research Institute is seeking candidates for Part-Time Research Assistant positions. Responsibilities will include providing support to investigators on ...

$19 - $26/hr

Field work ranging from routine sensor maintenance, data downloads, and sensor installation, often ... research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn ...

No Standard Hours per Week up to 19 hours Full Time or Part Time? Part Time Shift Day Work Schedule ... Research Assistant, I: Requires little to no related experience. Research Assistant, II : Requires ...

No Standard Hours per Week up to 19 hours Full Time or Part Time? Part Time Shift Day Work Schedule ... Research Assistant, I: Requires little to no related experience. Research Assistant, II : Requires ...

No Standard Hours per Week up to 19 hours Full Time or Part Time? Part Time Shift Day Work Schedule ... Research Assistant, I: Requires little to no related experience. Research Assistant, II : Requires ...

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Part Time Data Science Research Assistant information

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

As of Sep 6, 2026, the average hourly pay for part time data science research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What is a part time data science research assistant?

Part time data science research assistants are individuals who support data-driven research projects while working less than full-time hours. Their responsibilities typically include collecting, cleaning, and analyzing data, assisting with the development of research methodologies, and helping to interpret results. They often work under the supervision of more senior researchers or faculty members and may contribute to publications or presentations. This role is ideal for students or professionals seeking experience in data science without committing to a full-time position.

What does a part time data science research assistant do?

Part Time Data Science Research Assistants often support research projects by cleaning and preparing datasets, conducting exploratory data analysis, and assisting with the implementation of statistical models or machine learning algorithms. They usually collaborate closely with lead researchers, faculty members, or data scientists to ensure data integrity and help interpret results. While their schedule may be flexible, they are expected to consistently communicate progress and contribute to team meetings. This role offers valuable exposure to real-world data challenges and can be an excellent stepping stone for advancing into full-time research or data science positions.

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

To thrive as a Part Time Data Science Research Assistant, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools, machine learning libraries (such as scikit-learn or TensorFlow), and version control systems like Git is usually expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with research teams and present findings clearly. These skills are crucial for accurately analyzing data, supporting research objectives, and contributing valuable insights in an academic or industry setting.

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

AspectPart Time Data Science Research AssistantPart Time Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentAcademic or research institutions, labsBusiness, corporate, or consulting firms
Employer & Industry UsageUniversities, research centersCompanies, marketing agencies, finance firms
Common Search & ComparisonYesNo

While both roles involve data handling and analysis, a Part Time Data Science Research Assistant typically works in academic or research settings focusing on experimental or theoretical projects. In contrast, a Part Time Data Analyst is more industry-focused, analyzing business data to inform decisions. The roles share similar educational backgrounds but differ mainly in work environment and application focus.

More about Part Time Data Science Research Assistant jobs

What job categories do people searching Part Time Data Science Research Assistant jobs look for?

The top searched job categories for Part Time Data Science Research Assistant jobs are:

Infographic showing various Part Time Data Science Research Assistant job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Assistant

New York University

New York, NY • On-site

$30/hr

Part-time

Re-posted 16 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

82nd of 630 rated colleges and universities


Job description

Description
NYU Silver School of Social Work
Job Opportunity: Research Assistant
Location: 1 Washington Square North, NY, NY 10003
Part-Time: 10 hours/week; Hybrid
Expected Starting Date: ASAP
Contact: si880@nyu.edu
Compensation: $30/hour
Dr. Sireen Irsheid at the NYU Silver School of Social Work is seeking a Data Science Research Assistant (master's or PhD level) with strong existing skills in quantitative data analysis and experience working with large datasets to support ongoing projects focused on equity in education and disrupting school pushout.
Job Description
The intern will work on the Disrupting School Pushout project, which examines how systemic factors contribute to school pushout in New York City. The project connects data on neighborhood-level opportunity structures and school resource allocation with information about students' academic and mental health outcomes.
Job responsibilities include:
  • Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS and Stata.
  • Working with large datasets, including merging files into the data archive.
  • Creating clear data visualizations to communicate results (including GIS maps).
  • Assisting with the preparation of manuscripts, presentations, and reports based on study findings.
  • Supporting the project coordinator on the qualitative portion of the study (e.g., data organization, coding support, or integration of qualitative and quantitative findings).
  • Collaborating with Dr. Irsheid and team members to support both quantitative and qualitative aspects of the project.

Qualifications
Required Skills and Qualifications
  • Proficiency in SAS and Stata.
  • Demonstrated experience with quantitative data analysis, including multilevel modeling.
  • Proven ability to work with large datasets, including merging and managing complex files.
  • Experience with data visualization (graphs, GIS maps, figures).
  • Proficiency with GIS software and spatial data analysis is highly desirable.
  • Strong writing skills, including the ability to contribute to manuscripts and presentations.
  • Interest or experience in mixed-methods research and willingness to collaborate on qualitative aspects of the project.
  • High attention to detail and accuracy in coding, data management, and documentation.
  • Strong interest in issues of equity in education and school pushout

Application Instructions
Please apply by submitting a resume and cover letter on Handshake or Interfolio.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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10,000+ Employees

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Year founded

1831