ACS/Data Science Professor - Full-Time, Part-Time, or Adjunct

University of Advancing Technology
Tempe, AZ

Job Description

Job Description

Salary:

Do you want to share your passion for Computer Science, Mobile Development, Cloud Computing, and Data Science with students who are excited to learn?

Who We Are:
University of Advancing Technology(UAT) isan elite intimate private college in Tempe, AZ focused oneducating students in advancing technologywho desire to innovate in the areas ofemerging technology disciplines including Advancing Computer Science, Information Security, Game and New Media technologies.

Living on campus, students are surrounded by a true living-learning technology environment that incubates their ideas into innovations that students can patent and take to market. Students must create an innovation project to graduate.

We are an entrepreneurial, results-oriented company recognized for delivering high standards of innovation and service. As an organization designed to change the lives of some of the brightest young minds, we rely on the excellence of every member of our family to continuously exceed our own standards and our students expectations.

The Role:
UAT is seeking an exciting ACS/Data Science professor who can engage students in applying their knowledge of data science, machine learning and AI, and statistical analysis to advancing technology projects. UAT's ACS/Data Science professors are responsible for effectively instructing undergraduate students on how to analyze, manage, design, and implement large data sets, using various tools and methods for interacting with and visualizing data in ways that create new understandings and value. Candidates will collaborate with department peers to design, review and maintain the general data science curriculum.

Don't have teaching experience - that's where we come in. UAT's team of faculty and staff will work with you as you:

Essential Duties:

  • Facilitation of students
  • Student feedback and mentorship
  • Development and delivery of collegiate learning experiences related to data science
  • Development of course materials
  • Engagement with the development community

Skills Requirements:
*Note: a combination of the following skills is preferred; not all are required

  • Proficiency in Python, R, or Scala for data sciences applications
  • Experience with data wrangling tools and libraries (e.g. pandas, NumPy, dplyr)
  • Knowledge of machine learning libraries/frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
  • Hands-on experience with big data platforms (e.g. Hadoop, Spark, Kafka)
  • Familiarity with cloud-based data services (e.g. AWS, Azure, Google Cloud)
  • Strong command of SQL and experience working with relational and NoSQL databases
  • Ability to design and interpret experiments and A/B tests
  • Experience with visualization tools like Tableau, Power BI, or Plotly
  • Solid understanding of data privacy, governance, and ethical AI principles

Key Responsibilities:

  • Design, implement, and manage large-scale data pipelines derived from real-time and batch sources.
  • Integrate and transform data from multiple sources, including performing data cleaning, validation, and feature engineering
  • Apply statistical tests, machine learning algorithms, and data mining techniques to identify trends and generate predictive insights
  • Develop interactive dashboards and visualizations that effectively communicate key findings and recommendations
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  • Leverage AI and big data frameworks to create scalable analytics solutions
  • Interpret data to provide strategic guidance and support data-driven decision-making processes

Educational Requirements:

  • Master's degree in computerscienceor relevant field with 18 credit hours in computer science; doctoral degree preferred
  • 3+ years of relevant industry experience

Pedagogy:

University of Advancing Technologys Synchronic Learning model is designed especially for students of advancing technology. Tailored to both undergraduate and graduate students, Synchronic Learning provides an education framework that prepares superior graduates to become tomorrows innovators. This model embodies UATs methodologies, curricula, and people dedicated to fostering an environment of innovation that promotes demonstrated mastery and job readiness. An integral part of this framework is SyncFlex , a flexible learning approach with an emphasis on mentored education that provides real project experience to cultivate superior graduates.

Important Notes:

Location Requirements: This is not a remote position; candidates must be willing to work in-person at our campus in Tempe, AZ.

Adjunct Pay: $3,000 for in-person courses; $2,400 for hybrid/online courses

Part-Time Pay: $36,250 - $51,500 dependent on Education and Experience

Full-Time Salary + Benefits: $72,500-$103,000 dependent on Education and Experience.

  • Medical insurance option with UAT covering over 60% of the premium cost, depending on coverage selection.
  • UAT has your BACK, by covering 100% of the monthly premium for Short-Term and Long-Term coverage.
  • Dental, Vision, 401k, Life Insurance, and AD&D Options
  • Over 15 Paid Holidays - we work hard, but give you that extra time to play hard as well!
  • Competitive Employee and Dependent Scholarship Programs; we take pride in your educational background and look forward to supporting your families academic goals and endeavors.
  • Meal Benefit at University Caf. HANGRY? Never heard of here. Come get breakfast, lunch, and dinner at the caf, on us, YUM!
  • University Store Discount amongst other Discount Programs.
  • Positive, open, and transparent Work Environment and culture that includes Kudos Program, Casual Fridays and Select Work Weeks, Employee Wellness Activities, Bring your Pet to Campus, along with Summer and Winter Happiness Events.
  • Employee Training and Development: Essential Skills Modules are scheduled on the job, allowing for learning, working, and implementation.

We do not discriminate on the basis of race, color, religion, national origin, sex, age, or disability. It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.

UAT does not sponsor foreign visa's. Thank you for your understanding.

Posted 2025-07-26

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