Location: San Antonio, TX
Regular/Temporary: Regular
Job ID: 11228
Full/Part Time: Full Time
Department Marketing Statement
The UTSA Carlos Alvarez College of Business Data Analytics Center provides secure, scalable high-end data science analytics, and machine learning/AI solutions for academic and industry partners.
Org Marketing Statement
The University of Texas at San Antonio is a Tier One research university and a Hispanic Serving Institution specializing in cybersecurity, health, fundamental futures, and social-economic transformation. With more than 34,300 students, it is the largest university in the San Antonio region. UTSA advances knowledge through research and discovery, teaching and learning, community engagement and public service, and with an intentional focus on career readiness the university produces more graduates for the workforce than any other institution in the region. It is a catalyst for socioeconomic development and the commercialization of intellectual property - for Texas, the nation and the world. UTSA has been recognized as a Top Employer in Texas by Forbes Magazine. Learn more about UTSA online, on USTA Today or on X (formerly Twitter), Instagram, Facebook, YouTube or LinkedIn.
Posting End Date: Applications will be accepted through 11:59 PM CDT on 05/31/2024. At the discretion of the hiring department, this position posting may close once a sufficient number of qualified applications have been received.
Salary Range: Up to $70,000 annualized, commensurate with education, experience and qualifications.
Hours: 40 hours per week, exempt.
Required Application Materials:

• Resume is required.
• Cover Letter is preferred.

Essential Functions
Function: To assist in the planning, direction, and communication of technical projects for the Data Analytics Center in the Alvarez College of Business. Performs range of duties requiring special qualifications and advanced technical acumen.
Scope: Responsible for assisting with the training, management, planning, design, implementation, and performance of the Data Analytics Center.
Duties
Typical:
Duties and responsibilities are listed below, but are not limited to:

• Performs leadership duties to include assisting in the preparation of specifications and the development of techniques; leads teams in development activities.
• Plans, schedules, and coordinates detailed phases of development; establishes development practices (DevOps) and oversees management of development team.
• Authority on full-stack development processes, standards, and practices.
• Manages the creation, setup, operation, refinement, and maintenance of analytical instruments and tools.
• Develops and/or implements analytic processes that use statistical or mathematical processes to generate descriptive/predictive statistics and develop statistical/ML models.
• Oversees the supervision and training of student employees, interns, and volunteers; oversees staff using established procedures; and leads research teams in advanced multi-year research activities.
• Communicates complex technical aspects of DAC processes to customers and stakeholders in a consumable manner.
• Plans, schedules, and coordinates detailed phases of research projects including working with the team to devise new approaches to problems encountered.
• Perform additional duties as assigned.

Periodic:

• Assist in the preparation of progress reports and presentations.
• Assess center needs for development projects and establish multiple hardware acquisition and implementation plans aligned with funding opportunities.
• Coordinate with systems support staff (Academic Computing and UTS).

Required Qualifications

• Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering or a closely related field from an accredited university.
• 5 years of experience in data management, processing, analysis, or software development (full-stack). Experience establishing and communicating strategic plans for both hardware infrastructure and software development roadmaps.
• Edge computing development.
• Web Stack development
• Mixed OS development (Windows and Linux based system interoperability).
• Flexible and organized. Able to meet deadlines and coordinate multiple ongoing programs and activities.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Edge computing development with ML inferencing, leveraging Coral TPUs.
• Flask, Streamlit, FastAPI and React development.
• Secure SSL web app communication leveraging nginx, gunicorn, and tornado.
• Github team management.
• Mixed OS development (Windows and Linux based system interoperability).

Additional Information

• UTSA is a tobacco free campus.
• This is a security sensitive position. Employment is contingent upon a successful background check.
• Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.

Working Conditions

• Standard office conditions.
• Assignment deadlines may require overtime.

This position will be primarily located on campus. Travel and parking expenses are the employee's responsibility.
Expected end date for this position is two years from date of hire, but renewable based on departmental needs, funding, and performance.
Equal Employment Opportunity
As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affirmative Action Program in compliance with all government requirements to ensure nondiscrimination. Women, minorities, people with disabilities and veterans are encouraged to apply. UTSA campuses are accessible to persons with disabilities.