Senior Associate Director, AI Research - JR30542-3800

The University of Chicago • Chicago, IL • 7h ago

This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/12795845 Department

Booth Center for Applied Artificial Intelligence 1

About the Department

The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges.

Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment.

Chicago Booth is proud to claim:

-an unmatched faculty.

-degree and open enrollment programs offered on three continents.

-a global body of nearly 56,000 accomplished alumni.

-strong and growing corporate relationships that provide a wealth of lifelong career opportunities.

As part of the world-renowned University of Chicago, Chicago Booth shares the University\'s core values that shape the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment.

For more information about the University of Chicago Booth School of Business, please visit: http://www.chicagobooth.edu/.

Job Summary

The Senior Associate Director, Artificial Intelligence Research drives research across the Center for Applied AI. They are responsible for managing project delivery, supervising staff, forming and nurturing client relationships, and contributing unique insights on research projects and methodologies.

Responsibilities

Plans and executes AI/ML project milestones.

Contributes unique insights to methodologies, project communication,

project support, and research direction.

Supervises data scientists, research professionals, and other

research support staff.

Coordinates with faculty and principal researchers to design and

lead AI/ML research projects.

Manages hiring and support pipeline for CAAI lab.

Presents research insights and metrics to interested stakeholders.

Translates research insights to design and communication teams for

broad dissemination.

Participates in the AI/ML research community at CAAI, Booth, and the

University of Chicago.

Represents CAAI at external research conferences and other relevant

events.

Provides expertise to researchers and research support staff.

Oversees activities related to data collection and analysis.

Improves financial, personnel, planning, compliance and other

administrative aspects of research project. Collaborates with other researchers on long-range plans for research projects. Leads, investigates, modifies and applies new procedures, techniques or applications of technology. Establishes goals and operating procedures, practices, and guidelines.

Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.

Certifications:

Preferred Qualifications

Education:

Bachelor\'s degree.

Master\'s degree or higherin a quantitative field. Fields

considered include computer science, statistics, data science, economics, or something closely related.

Experience:

Managing research professionals in an academic environment.

Technical Skills or Knowledge:

Proficiency with data analysis and machine learning. This includes

both theoretical understanding and practical experience with statistical computing using Python or R (the ability to work in both languages).

Demonstrated proficiency with MS Office (Word, Excel, PowerPoint,

and Outlook).

Preferred Competencies

Familiarity with research conventions in economics and computer science fields.

Outstanding verbal, written, and presentation skills, as well as organizational skills.

Work independently with little supervision; possess a self-motivated disposition; identify opportunities for improvement and recommend effective changes, all while achieving key objectives resulting in desired outcomes.

Excellent strategic planning, critical thinking, analytical, and persuasion skills.

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