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What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
More about Part Time Data Science jobs
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What cities near Wayne, NJ are hiring for Part Time Data Science jobs? Cities near Wayne, NJ with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Wayne, NJ as of July 2026, with employment types broken down into 6% Full Time, and 94% Part Time. Highlights an 77% In-person, 17% Hybrid, and 6% Remote job distribution.
Research Associate- (Part- time)

Research Associate- (Part- time)

New York University

New York, NY • On-site

$30.77/hr

Full-time, Part-time

Re-posted 25 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

108th of 555 rated colleges and universities

Job description

Description
Part-Time Research Associate
New York University Tandon School of Engineering
Description: The Dynamical Systems Laboratory (DSL) at NYU Tandon School of Engineering is looking for a part-time Research Associate to join our interdisciplinary team and contribute to the lab's applied research.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. The DSL was established seventeen years ago by Prof. Maurizio Porfiri (Institute Professor at Tandon School of Engineering and Director of the Center for Urban Science and Progress, with appointments at the Department of Mechanical and Aerospace Engineering, the Department of Biomedical Engineering, the Department of Civil and Urban Engineering, and the Center for Urban Science and Progress). The DSL is home to a highly collaborative and vibrant group of young scholars with complementary expertise across theory, experiments, and computations.
Expectations:
The successful candidate will have a demonstrated background in mathematical modeling, data science, and/or experimental methods on interdisciplinary research topics as exemplified by a strong publication record. Candidates will contribute to one or multiple research projects. Our research seeks to elucidate the causes of firearm-related harms in cities, understand human mobility patterns on different scales (such as commuting and migration), develop robotic-based assistive technologies for the visually impaired to navigate urban environments, and assist communities in the aftermath of natural disasters through bio-inspired solutions. Whether working on criminology, mobility, health, or disaster-related research, candidates should thrive in quantitative, hypothesis-driven research with high impact. Beyond conducting research in the broad area of urban science, candidates will be responsible for mentoring undergraduate students, leading outreach activities, and supporting proposal writing and grantsmanship.
Salary range
In compliance with NYC's Pay Transparency Act, the hourly rate for this position will be $30.77 per hour for 27 hours per week. This position is for 1 year, with an opportunity to renew subject to availability of funds. .
Qualifications
  • M.S. with expertise in engineering, mathematics, physics, or a related field;
  • Outstanding English language oral and written communication skills;
  • A strong work ethic with the ability to work independently as well as in a research group;
  • A strong interest in becoming a leader, conducting interdisciplinary research with collaborators in other fields, and mentoring students;
  • Evidence of good project/laboratory management skills.

Application Instructions
Applicants should submit, as one pdf, the following information:
  • an up-to-date CV that includes a complete list of publications,
  • a research statement that describes their interest and goals and how their research relates to this position,
  • brief cover letter, explaining your interest and fit for the position;
  • names and contact information for three references (submitted by recommenders (not by the candidate).

All application materials should be submitted electronically via Interfolio and to: Maurizio Porfiri at mporfiri@nyu.edu.
Review of applications will begin as soon as possible and will continue until the position is filled. Expected start date is: January 2026.

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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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Year founded

1831

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