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Part Time Data Science information

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
What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
What are popular job titles related to Part Time Data Science jobs in Kansas? For Part Time Data Science jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Kansas look for? The top searched job categories for Part Time Data Science jobs in Kansas are:
What cities in Kansas are hiring for Part Time Data Science jobs? Cities in Kansas 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 Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Field Data Collector - GSSpeak

Field Data Collector - GSSpeak

NORC at the University of Chicago

Oakley, KS • On-site

$19 - $28.41/hr

Full-time, Part-time

Retirement

Posted 11 days ago

Job description

Field Data Collector - GSSpeak
Job no: 503878 Work type: Intermittent Location: Oakley, KS Capability Area: Field
Job Description:
NORC is hiring Field Data Collectors (Field Interviewers) to support research and data collection.
In this position, you will help bring research to life by conducting in-person interviews in respondents' homes. The data you collect will support studies on important issues, including healthcare access and affordability, the role of higher education in the workforce, and other topics that shape public policy.
Candidates who are conversationally bilingual in English and Spanish are encouraged to apply.
Ideal Candidate:
The ideal candidate for this role:
  • is available to work a flexible, part-time schedule, primarily in the evenings and over the weekend,
  • a self-starter who can manage, organize, and commit to their own work schedule,
  • someone that enjoys meeting new people from diverse backgrounds and professions,
  • is available to make "cold contacts," both by phone and in-person to gain cooperation with new sample members, and
  • is willing to conduct interviews both by phone and in-person at the respondent's home, jobs, or other public places,
  • and has field interviewing or related experience in sales, hospitality, marketing, canvassing, teaching, or customer service experience.

Responsibilities:
  • Gain the cooperation of respondents in order to complete a survey by being persuasive and appropriately assertive.
  • Maintain neutral and objective communication with respondents.

Requirements:
  • Available to work a part-time schedule of 20-25 hours per week, including weekday, evening, and weekend shifts.
  • Must be comfortable contacting people in-person at their home, often without notice.
  • Lifting and carrying up to 10 lbs. up and downstairs as needed.
  • Must reside within 100 miles of the location displayed in this job posting.
  • Must be able to use a company provided laptop, tablet, and applications for tasks such as sending emails and capturing notes about completed work.
  • Valid driver's license, automobile insurance, and access to reliable transportation.
  • All employees hired for this position must present evidence of their identity and authorization to work in the United States (I-9 documentation).
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.
  • At least 18 years of age.
  • High School Diploma or GED preferred.
  • Bilingual (Spanish/English) is a plus.

Salary And Benefits:
The pay range for this position will be $19.00 - $28.41 per hour, with additional bilingual pay of $1.00 for each hour worked after certification is completed; pay is based on experience and geographic location.
This position is classified as intermittent. Intermittent staff are eligible for the following benefits:
  • 403(b) Retirement Plan
  • Paid sick leave
  • Paid holidays
  • Paid orientation and training
  • Free counseling and referrals through NORC's Employee Assistance Program (EAP)
  • Discount programs - like travel and electronics

Pay and benefits transparency helps to reduce wage gaps. As part of our commitment to pay equity and salary transparency, NORC includes a salary range for each job opening along with information about eligible benefit offerings. At NORC, we take a comprehensive approach to setting salary ranges and reviewing raises and promotions, which is overseen by a formal Salary Review Committee (SRC).
We will consider for employment all qualified Applicants, including those with arrest and conviction records, in a manner consistent with the requirements of applicable state and local laws. Material job duties that may be directly and negatively impacted by certain criminal histories and result in the withdrawal of a conditional offer of employment include in-person visits to respondent homes, collection of and access to sensitive personal information, handling of client funds, and scientific integrity in the ethical collection of data. The chance to explain or correct background information and provide verifiable information of good conduct and rehabilitation will be provided.
Other Important Details:
Learn more about this project:
Because of the temporary nature of field work, these positions are great for students, teachers, real estate agents, tax preparers, retirees, and all others who are looking for flexible work.
Who We Are:
NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, NORC has conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration.
EEO Statement:
NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.
Advertised: July 13, 2026 Central Daylight Time Applications close: July 30, 2026 Central Daylight Time
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