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Part Time Data Science Jobs in Arizona (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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

$56K/yr

... logic, science, or subject-matter courses requiring substantial competence in college-level ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Showing results 21-40

Part Time Data Science information

See Arizona salary details

$9

$45

$109

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

As of Aug 18, 2026, the average hourly pay for part time data science in Arizona is $45.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.94 and $67.68 per hour, depending on experience, location, and employer.

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.

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 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.

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 most commonly searched types of Data Science jobs in Arizona?

The most popular types of Data Science jobs in Arizona are:

What job categories do people searching Part Time Data Science jobs in Arizona look for?

The top searched job categories for Part Time Data Science jobs in Arizona are:

What cities in Arizona are hiring for Part Time Data Science jobs?

Cities in Arizona with the most Part Time Data Science job openings:

Infographic showing various Part Time Data Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $94,771 per year, or $45.6 per hour.

Biological Science Technician (Plants)

US Department of the Interior

Camp Verde, AZ • On-site

$50K/yr

Full-time, Part-time

Posted 11 days ago


U.S. Department Of The Interior rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

415th of 846 rated public administrative organizations


Job description

You will serve as a Biological Science Technician (Plants) with National Park Service.

Career-Seasonal appointments are permanent positions and include the same benefits as Career appointments, but do not provide work on a year-round basis. You will be in non-pay status from the end of January to mid-February and will be in a pay status for the remainder of the year.

Qualifications:Requirements Continued...

As a condition of employment for accepting this position, you may be required to serve a 1-year probationary period - OR - 2-year trial period to evaluate your fitness and whether your continuation of employment advances the public interest.

This probationary or trial period is an extension of the appointment process and therefore requires the agency to determine if continued employment would advance the public interest, meet the organization goals and mission of the agency, and/or otherwise promote the efficiency of the service. In determining if your employment advances the public interest, the agency will consider: your performance and conduct; the needs and interests of the agency; whether your continued employment would advance organizational goals of the agency or the Government; and whether your continued employment would advance the efficiency of the Federal service.
Under applicable law, the employment of an individual serving a probationary or trial period automatically terminates when that period ends unless the agency affirmatively certifies, in writing, that the individual's employment should continue and that their appointment should be finalized. In the absence of agency action to affirmatively certify continued employment beyond the probationary or trial period, such appointments are terminated. Upon completion of your probationary period or trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.

QUALIFICATIONS:
All qualifications must be met by the closing date of this announcement - 08/13/2026-unless otherwise stated in this vacancy announcement. Competitive candidates must also meet Time-in-Grade requirements as defined in 5 CFR 300, Subpart F.
For current Federal employees, if hours worked per week are not included on your resume, you must submit a non-award SF-50 as part of your application to be used to validate your work schedule and determine the amount of specialized experience that you will be granted. An award SF-50 will not be acceptable documentation for which to consider your amount of qualifying experience. For periods of time that reflect military service, the DD-214 or Statement of Service is sufficient to meet the work schedule requirement as the service dates will be reflected. For all other applicants who are not current federal employees, your resume must state either "full-time" (or "40 hours a week") or "part-time" with the number of hours worked per week to ensure proper crediting of specialized experience.
MINIMUM QUALIFICATIONS REQUIREMENT:
To qualify for this position at the GS-07 grade level, you must possess one of the following minimum qualifications by close of the announcement:

Experience: To qualify, you must possess at least one full year of specialized experience comparable in scope and responsibility to the GS-06 grade level in the federal service (obtained in either the public or private sectors). This experience MUST include the following: 1) implementing established botanical and wildlife field protocols and operate and maintain tools and equipment; 2) Use spatial data equipment and software to navigate, collect and manage data, and produce maps; 3) prepare daily work plans for field team and lead crews in the field; 4) prepare draft reports and assist with finalizing reports. You must include hours per week worked. -OR-
Education: Successful completion of at least 1 full academic year of progressively higher-level graduate education, directly related to the occupation. You must include transcripts. -OR-
Combination of education and experience as listed above. You must include hours per week and transcripts.
To qualify for this position at the GS-08 grade level, you must possess one of the following minimum qualifications by close of the announcement:

Experience: To qualify, you must possess at least one full year of specialized experience comparable in scope and responsibility to the GS-07 grade level in the federal service (obtained in either the public or private sectors). This experience MUST include all the specialized experience listed for the GS-07 level, plus the following: 1) Independently prepares draft and final reports as assigned by supervisor; and 2) creates annual workplans and improves protocols and implementation strategies for botanical and wildlife projects. You must include hours per week worked. -OR-
Education: Successful completion of at least 1.5 academic years of progressively higher-level graduate education, directly related to the occupation. You must include transcripts. -OR-
Combination of education and experience as listed above. You must include hours per week and transcripts.

For more information on combining education and experience see OPM Qualification Standards linked below:
Group Coverage Qualification Technical and Medical Support Positions
Individual Occupational Requirements for Biological Science Technician Series, 0404

Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:You must submit a copy of your transcript(s) to support claimed education if substituting education for experience. Transcripts must include your name, school name, grades, credit hours earned, major(s), grade point average or class ranking, and date the degree was conferred, if applicable. A typed list of courses, grades, semester/quarter hours, GPA, etc. will not be accepted. Non-submission may result in being rated not qualified for the position. Unofficial transcripts are acceptable, but if you are selected for this position and you used your education to qualify, you must provide official transcripts before you begin work.
Foreign Education: To receive credit for education completed outside the United States, you must show proof that the education has been submitted to a private organization that specializes in interpretation of foreign educational credentials and such education has been deemed at least equivalent to that gained in conventional U.S. education programs. For more information on how foreign education is evaluated, visit: https://www.ed.gov/about/initiatives/international-affairs/recognition-of-foreign-qualificationsEmployment Type: OTHER

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