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Part Time Data Science Jobs in Tempe, AZ (NOW HIRING)

MedTech

Phoenix, AZ

$36 - $38/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

You will work closely with data scientists, engineers, enterprise architects, and business ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Senior Software Engineer

Glendale, AZ

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... Collaborate with data engineers, business analysts, and data scientists to deliver integrated ...

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... Collaborate with data engineers, business analysts, and data scientists to deliver integrated ...

R&D Intern

Chandler, AZ · On-site

$14.50 - $19.50/hr

R&D Intern ( Part-Time) Heraeus Covantics Location Chandler - Arizona Temporary Part Time Company ... science or engineering. Your Role and Responsibilities : • Processing ceramic powder systems to ...

Showing results 21-40

Part Time Data Science information

See Tempe, AZ salary details

$8

$44

$107

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

As of Aug 8, 2026, the average hourly pay for part time data science in Tempe, AZ is $44.86, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $66.64 per hour, depending on experience, location, and employer.

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.

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.

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.
What are the most commonly searched types of Data Science jobs in Tempe, AZ? The most popular types of Data Science jobs in Tempe, AZ are:
What are popular job titles related to Part Time Data Science jobs in Tempe, AZ? For Part Time Data Science jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Tempe, AZ look for? The top searched job categories for Part Time Data Science jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Part Time Data Science jobs? Cities near Tempe, AZ with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,313 per year, or $44.9 per hour.

Research Technician I (Maricopa) (Part Time) (Extended Temporary)

University of Arizona

Maricopa, AZ • On-site

$16.50 - $18.75/hr

Part-time

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.


University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

383rd of 616 rated colleges and universities


Job description

Research Technician I (Maricopa) (Part Time) (Extended Temporary)
Posting Number
req26640
Department
School of Plant Sciences-Ext
Department Website Link
https://spls.arizona.edu/extension
Location
Maricopa
Address
37860 W. Smith Enke Road, Maricopa, AZ 85138 USA
Position Highlights
The laboratory of Dr. Bhupinder Singh in the School of Plant Sciences seeks to fill the position of Research Technician I.
The primary responsibility of the Research Technician will be assisting with running, under supervision field operations such as planting, spraying, and harvesting. Research duties will include operating farm tool and machinery to conduct trails, collecting soil, water, and plant biomass samples from the field, procuring and organizing research data, performing statistical analyses, and writing brief study reports. The individual will also participate under supervision in outreach activities like presenting research data during meetings or similar events and publishing research and educational manuscripts. This position is to support USDA funded project's tasks focusing on cotton field physiological phenotyping under Semi-Arid Growing Conditions.
This is an Extended Temporary Employment position.
Visa sponsorship is not available for this position.
Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
Under the supervision of Dr. Singh:
  • Operate farm machinery, and equipment, to prepare field and greenhouse experimental plots.
  • Assist with performing soil sampling, irrigation, fertilization, herbicide spray, weed management, and other agronomic practices, following standardized protocols.
  • Work individually or with other fellow technicians, students, and researchers under the supervision of the project PIs and senior research professionals.
  • Maintain accurate records of field and laboratory observations and experimental conditions.
  • Utilize statistical software for data entry, analysis, and visualization, such as Excel, R, or specialized agronomy software. Clear instructions will be provided by the project PIs to carry out these tasks.
  • Support project PIs and fellow researchers in outreach and extension activities such as:
    • Assist with the preparation of research reports, publications, and presentations.
    • Assist with organizing workshops based on collected data.
    • Assist with on-farm demonstrations.

Knowledge, Skills and Abilities
  • Basic computer skills.
  • Ability to work well in a team environment.
  • Experience in working with chemicals, electronic instruments.
  • Ability to drive vehicles to rural and urban field research sites.
  • Ability to learn new skills.
  • Ability to write reports and scientific manuscripts.
  • Ability to work with agricultural stakeholders.
  • Ability to work outside in open fields for extended hours.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.
Minimum Qualifications
  • High school diploma or high school diploma equivalency is required.
  • Must have a valid driver's license and ability to drive according tothe University Fleet Safety Policy.

Preferred Qualifications
  • Strong understanding of agronomic and weed management principles, operations and practices, with a minimum of one year of experience in field operations.

FLSA
Non-Exempt
Full Time/Part Time
Part Time
Number of Hours Worked per Week
24
Job FTE
.60
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
$16.50 - $18.75
Compensation Type
hourly rate
Grade
2
Compensation Guidance
The Rate of Pay Field represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, key skills, and internal equity.
The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.
Career Stream and Level
OC1
Job Family
Research & Lab
Job Function
Research
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
3/31/2027
Contact Information for Candidates
Dr. Bhupinder Singh
bhupindersingh@arizona.edu
Open Date
7/28/2026
Open Until Filled
Yes
Documents Needed to Apply
Resume and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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