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Part Time Data Science Jobs in Plano, TX (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$76K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... The documentation must indicate whether the duties were performed full time or, if part time, the ...

MedTech

Dallas, TX

$39 - $42/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 ...

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Finance, Computer Science or a ... Job Type: Full-time, Part-time What we offer: Compensation: Jill Frisch & Freeze Minimart has an ...

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

MedTech

Dallas, TX

$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 ...

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Part Time Data Science information

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 Plano, TX? The most popular types of Data Science jobs in Plano, TX are:
What are popular job titles related to Part Time Data Science jobs in Plano, TX? For Part Time Data Science jobs in Plano, TX, the most frequently searched job titles are:
What cities near Plano, TX are hiring for Part Time Data Science jobs? Cities near Plano, TX with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Plano, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$76K/yr

Full-time, Part-time

Re-posted 14 days ago


Job description

This position is located in the Department of Health and Human Services, Administration for Children and Families, headquartered in Washington, District of Columbia.
This announcement will close at 11:59 PM, on the day that 100 applications have been received or the closing date of the announcement, whichever comes first.Qualifications:WHAT WE ARE LOOKING FOR
Basic Qualifications: You must possess one of the items listed below (A or B):
  • A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

OR

  • B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
Minimum Qualifications: You must have one year specialized experience to perform successfully the duties of the position. To be creditable, specialized experience must have been equivalent to at least the GS-11 grade level in the Federal service performing ALL of the following:
  • Applying advanced data science and analytics using tools such as Tableau, GIS, Palantir, and enterprise data platforms to support program analysis, performance measurement, and data-driven decision-making.
  • Developing and executing complex analytical models (statistical, mathematical, and computational) using R, Python, and SQL to extract, analyze, and interpret structured and unstructured data, identify trends, and evaluate program effectiveness.
  • Translating technical analyses into actionable insights by producing clear data visualizations, reports, and briefings for senior leadership and stakeholders with varying levels of technical expertise.
  • Providing strategic analytical guidance and collaboration by working with cross-functional teams to define requirements, ensure data integrity and governance, and align analytical products with mission and operational priorities.

Documenting experience: IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Qualifications are based on breadth/level of experience. In addition to describing duties performed, applicants must provide the exact dates of each period of employment (from MM/YY to MM/YY) and the number of hours worked per week if part time. As qualification determinations cannot be made when resumes do not include the required information, failure to provide this information may result in disqualification. Applicants are encouraged to use the USAJOBS Resume Builder to develop their federal resume.
Do not copy and paste the duties, specialized experience, or occupational application questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
In accordance with Office of Personnel Management policy, federal employees are assumed to have gained experience by performing duties and responsibilities appropriate for their official series and grade level as described in their position description. Experience that would not normally be part of the employee's position is creditable, however, when documented by satisfactory evidence, such as a signed memorandum from the employee's supervisor or an SF-50 or SF-52 documenting an official detail or other official assignment. The documentation must indicate whether the duties were performed full time or, if part time, the "percentage of times" the other duties were performed. It is expected that this documentation is included in the employee's official personnel record. In order to receive credit for experience in your resume that is not within the official series and grade level of your official position, you must provide a copy of the appropriate documentation of such experience as indicated above.
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; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to gain employment. You will receive credit for all qualifying experience, including volunteer experience. If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited.
OPM Qualification General Policies WebsiteEducation:Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: http://www.ed.gov.
Note: Applications can be accepted from students who expect to complete qualifying education within 9 months from the date of application. Education was completed successfully before the applicant can be appointed.Employment Type: OTHER