Job Description:

• Manage a team of engineers and students contributing to projects across the Data Science Instituteâ™s activities of research, education, and outreach driving the development of robust, scalable, core components.

• Provide mentorship to engineers and students and share your passion for staying on top of tech trends, experimenting with and learning new technologies.

• Establish processes to triage bugs, track software defects, and ensure their timely resolution. Define and steward technical standards and code quality.

• Oversee internal computing resources.

• Work closely with faculty, staff, and external organizations to develop novel research and act as the principal liaison to faculty research partners.

• Collaborate with external data science partner organizations on engineering projects.

• Develop, apply and communicate standards for evaluating project proposals based on technical merit and other institutional goals.

• Develop and communicate program priorities and performance standards and assess operations using these criteria.

• Participate and direct code review and code evaluation activities.

• Act a subject matter expert and technical lead on one or more areas of database design, cloud deployment, microservices, devops best practices.

• Manages employees by establishing annual performance goals, allocating resources, assessing annual performance, and determining individual merit, incentive and/or promotional increases. Provides technical oversight and develops standards, guidelines, and processes for application systems.

• Advises decisions on project and infrastructure needs, including the evaluation of server technologies, languages, platforms, and frameworks. Develops timelines and project plans for the team.

• Performs other related work as needed.

Preferred Qualifications

Education:

• Bachelorâ™s degree or graduate degree, in math, statistics, computer science, data science, or related field.

Experience:

• Over 3 years of professional software development management experience.

• Project management experience using agile methodologies (scrum, Kanban, etc.)

• Experience with research universities or research environments; experience working with faculty, students, and researchers.

• Student mentoring experience.

Technical Skills or Knowledge:

• Experience using and developing on one of the major cloud providers (AWS, GCP or Azure).

• Significant experience developing code in Python with knowledge of Node.js and a compiled language such as C/C++.

• Strong foundation in data management and data science.

• Cloud computing cost estimation and budgeting.

• Strong analytical skills and problem solving.

Preferred Competencies

• Demonstrated communication skills and the ability to break down complex technical problems.

Application Documents

• Resume (required)

• Cover letter (preferred)

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.

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