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Part Time Nba Computer Science Jobs (NOW HIRING)

Hcfl

Computer Science - adjunct

Brandon, FL · On-site

$76/hr

Applicant must have a Master's Degree in Computer Science and the ability to teach the following ... part-time for upcoming semesters. Applications will remain actively on file for one year. To be ...

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How much do part time nba computer science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for part time nba computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

How much do NBA interns get paid?

NBA internships typically pay between $15 and $20 per hour, depending on the role and location. Interns often work part-time during the season and may be required to have relevant skills such as sports management, marketing, or computer science, especially for technical roles like data analysis or software development.

What is a Part Time NBA Computer Science role?

A Part Time NBA Computer Science role typically refers to a position within the National Basketball Association (NBA) or a related organization that involves applying computer science skills on a part-time basis. Responsibilities may include data analysis, software development, or creating tools to support basketball operations, analytics, or fan engagement. These roles are ideal for students or professionals seeking flexible hours while contributing to cutting-edge projects within the sports and technology sectors.

What jobs can I get with the NBA?

A Part Time NBA Computer Science role typically involves working in areas such as data analysis, software development, or IT support related to basketball operations or league technology. Skills in programming languages, database management, and familiarity with sports analytics tools are often required for these positions.

What NBA player studied computer science?

One NBA player who studied computer science is Spencer Dinwiddie, who earned a degree in computer science from Colorado University. His background in technology has led him to explore blockchain and cryptocurrency projects outside of basketball.

Is computer science dead due to AI?

Computer science remains a vital field for roles like part-time NBA computer science support, as AI advances create new opportunities for software development, data analysis, and algorithm design. AI tools can enhance productivity but do not replace the need for skilled programmers and computer scientists who develop, maintain, and improve these technologies.

How does a part-time NBA Computer Science professional typically collaborate with other departments or teams?

Part-time NBA Computer Science professionals often work closely with data analysts, coaching staff, and player development teams to provide technical solutions and insights. Their responsibilities may include developing software tools for data collection, optimizing databases, and supporting data-driven decision making in player performance or game strategy. Collaboration usually involves regular meetings, shared project management platforms, and clear communication to ensure that technical solutions align with team objectives. This cross-functional teamwork allows part-time contributors to have a meaningful impact, even with a reduced schedule.

What are the key skills and qualifications needed to thrive as a Part-Time NBA Computer Science professional, and why are they important?

To thrive in a part-time NBA Computer Science role, you need a solid background in computer science fundamentals, data analysis, and programming, often supported by a relevant degree or coursework. Familiarity with sports analytics software, databases, and programming languages like Python or R is typically required. Strong problem-solving, attention to detail, and effective communication are valuable soft skills for translating data into actionable insights. These skills enable you to contribute meaningfully to team performance analytics and decision-making processes in a dynamic sports environment.

What is the difference between Part Time Nba Computer Science vs Part Time Data Analyst?

AspectPart Time Nba Computer SciencePart Time Data Analyst
Required CredentialsComputer Science degree or related certificationsStatistics, Data Analysis certifications or related degrees
Work EnvironmentSports organizations, tech teams, or gaming companiesBusiness, marketing, or sports organizations
Industry UsageUsed in NBA tech development, analytics, and software projectsUsed for interpreting sports data, performance metrics, and business insights

Part Time Nba Computer Science roles focus on software development, data systems, and tech solutions within the NBA industry, requiring a background in computer science. In contrast, Part Time Data Analysts interpret data to support decision-making, often requiring statistical skills. Both roles may overlap in sports organizations but differ in technical focus and skill sets.

What cities are hiring for Part Time Nba Computer Science jobs? Cities with the most Part Time Nba Computer Science job openings:
What are the most commonly searched types of Nba Computer Science jobs? The most popular types of Nba Computer Science jobs are:
Part Time Nba Computer Science jobs near you
Part-Time Lecturer in Computer Science

Part-Time Lecturer in Computer Science

University of Texas at Dallas

Richardson, TX • On-site

Part-time

Posted 14 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

501st of 553 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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