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Highest Paying Computer Science Jobs in Arkansas

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Highest Paying Computer Science information

What is the highest paying computer science job?

The highest paying jobs in computer science often include roles such as software architect, machine learning engineer, data scientist, IT manager, and cloud solutions architect. These positions typically require advanced technical skills and may involve leadership responsibilities. Compensation can vary based on experience, education, industry, and geographic location, but these roles consistently offer some of the highest salaries in the tech sector. Many of these jobs also provide opportunities for growth and specialization.

What types of projects and responsibilities can I expect in the highest paying computer science roles?

In the highest paying computer science positions, such as those in machine learning, artificial intelligence, or cybersecurity, you can expect to work on complex, high-impact projects that drive business innovation or protect critical data. Typical responsibilities include designing scalable algorithms, building and optimizing large systems, and collaborating closely with cross-functional teams like data scientists, product managers, and engineers. These roles often require staying current with emerging technologies and solving challenging technical problems, making adaptability and continuous learning essential. You may also have opportunities to mentor junior staff and lead technical initiatives, which can accelerate your career growth.

What are the key skills and qualifications needed to thrive in the highest paying computer science roles, and why are they important?

To excel in the highest paying computer science roles, you typically need expertise in computer programming, systems design, and algorithm development, supported by a bachelor's or master's degree in computer science or related fields. Proficiency with advanced programming languages (like Python, Java, or C++), cloud platforms, and relevant certifications (such as AWS Certified Solutions Architect or Certified Information Systems Security Professional) is highly valued. Exceptional problem-solving abilities, strong analytical thinking, and effective collaboration skills help professionals stand out in these competitive positions. These capabilities are crucial for innovating, building robust software solutions, and driving business success in a rapidly evolving tech landscape.

What are popular job titles related to Highest Paying Computer Science jobs in Arkansas?

For Highest Paying Computer Science jobs in Arkansas, the most frequently searched job titles are:

Infographic showing various Highest Paying Computer Science job openings in Arkansas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Science Program Teaching Associate Professor - 12 MONTH

Fayetteville, AR โ€ข On-site

$80 - $100/hr

Other

Medical, Dental, Life, Retirement

Posted 7 days ago


Key responsibilities

  • Assist with the development of course materials for the Data Science Program and its course sequence.

  • Support academic advising for undergraduate and graduate data science students and assist with summer orientation for future graduate students.

  • Create and maintain collegial, harmonious working relationships with colleagues and ensure regular, reliable, and non-disruptive attendance.


Job description

Closing Date

09/14/2026

Type of Position

Faculty - Non-Tenure

Workstudy Position

No

Job Type

Annual Appointment (Fixed Term)

Work Shift

N/A

Sponsorship Available

No

Institution Name

University of Arkansas, Fayetteville

Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nationโ€™s top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations.

The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nationโ€™s strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.

As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.

Department

Karl Schubert Reports

Department's Website

https://datascience.uark.edu

Summary of Job Duties

The Data Science Program Teaching Associate Professor is a 12-month 100% appointed, non-tenure track position that provides instruction and assists with the development of course materials for the undergraduate and future graduate Data Science Program and undergraduate and future graduate Data Science Program course sequence, supports academic advising to undergraduate and graduate data science students, supports summer orientation for future graduate data science students, and serves on college and university committees as appropriate.

Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.

QualificationsMinimum Qualifications
  • Ph.D. or similar terminal degree in Data Science, Data Analytics, or closely related fields (e. g., computer science, statistics, operations research, industrial engineering) from an accredited institution of higher education; conferred by the start of employment
  • Demonstrated effective experience as a teacher for undergraduate and graduate data science, data analytics, or closely related fields courses at the third-year and fourth-year levels
  • Experience with programming in Python, R, and SQL
  • Experience working on multi-disciplinary teams
Preferred Qualifications
  • A record of sustained excellence in teaching and scholarship
  • Recognition for teaching excellence at a regional or national level
Knowledge, Skills, & Abilities
  • Ability to display a commitment to undergraduate and graduate data science students in developing their academic skills, especially upper-level students
  • Ability and interest in developing graduate level course work in data science
Salary Information

Commensurate with education and experience

Required Documents to Apply
  • Cover Letter/Letter of Application
  • Curriculum Vitae
  • List of three Professional References (name, email, business title)
Optional Documents
  • Proof of Veteran Status
Recruitment Contact Information

Karl Schubert, Director of Data Science, schubert@uark.edu

Pre-employment Screening Requirements

Criminal Background Check, Sex Offender Registry. The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all.

The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the Universityโ€™s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All Application information is subject to public disclosure under the Arkansas Freedom of Information Act.

Constant Physical Activity

N/A

Frequent Physical Activity

N/A

Occasional Physical Activity

N/A

Benefits Eligible

Yes

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