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

IQVIA

MedTech

Dallas, TX · On-site

$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 ...

Jill Frisch

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 ...

Globe Life Inc.

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 ...

IQVIA

MedTech

Dallas, TX · On-site

$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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All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Plano, TX

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.
More about Part Time Data Science jobs
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 job categories do people searching Part Time Data Science jobs in Plano, TX look for? The top searched job categories for Part Time Data Science jobs in Plano, TX 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:
Part Time Data Science jobs near you
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.

Part-Time Lecturer in Computer Science

University of Texas at Dallas

Richardson, TX • On-site

Part-time

Re-posted 9 days ago

University Of Texas At Dallas rating

6.0

Company rating: 6.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

560th of 616 rated colleges and universities

Job description

Posting Details
Posting Details
Posting Number
F01152P
Position Title
Part-Time Lecturer in Computer Science
Functional Title
Part-Time Lecturer in Computer Science
Department
Computer Science
Salary Range
Negotiable
Pay Basis
Monthly
Position Status
Regular part-time
Location
Richardson
Position End Date (if temporary)
Posting Open Date
07/01/2026
Posting Close Date
07/31/2027
Open Until Filled
No
Desired Start Date
08/16/2026
Job Summary
Lecturers teach one or more undergraduate and/or graduate sections in a given term. Appointments carry no guarantee or expectation of renewal or tenure.
Minimum Education and Experience
An earned graduate degree appropriate to the academic discipline/topic and a record of productivity and professional achievement.
Preferred Education and Experience
PhD in Computer Science or closely related field, with 2 years of teaching experience at the college or university level.
Other Qualifications
To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.
Essential Duties and Responsibilities
Prepare and teach undergraduate classes and/or labs;
Maintain contact with student population in the classroom and via electronic learning platforms (eLearning);
Contribute assessment information and data as requested through the administration and the Assessment Team;
Participate in course evaluation surveys.
Physical Activities
Working Conditions
Additional Information
Special Instructions Summary
Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

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