Successful cities are key to successful societies. Throughout history, cities have represented the vibrancy and ingenuity of humanity by uniting diverse populations and fostering innovation, ultimately enabling societies to flourish. At the Mansueto Institute, we are building on the proud tradition of urban scholarship at the University of Chicago, bringing together ideas and groups to advance research, convene events, and offer opportunities to students, faculty, and others:
We identify and support the best ideas when they are poised to have an impact, aiming to produce innovative solutions. That's why we work with partners throughout the University of Chicago to discover promising research across disciplines and provide the support needed to launch these ideas and make a true difference in people's lives.
Our work takes a variety of forms. This includes developing research and initiatives with partners across UChicago and beyond; outreach and collaborating to identify and advance the needs of community; analyzing and presenting data so it makes a meaningful impact on policy questions; bringing together a variety of stakeholders for events on critical issues, from affordable housing to the impact of climate change on cities; training University of Chicago students to better serve and lead the cities of the future through a variety of fellowship and research opportunities; and communicating our work to media, communities, policymakers, and the general public.
We work with various schools, departments, centers, institutes, and other units across campus and outside of the university to leverage our resources to turn urban scholarship into impact. At the University of Chicago, we aim to foster a vibrant urban ecosystem. Beyond our walls, we work with community partners, government, the private sector, and others on a variety of efforts to promote a successful urban future.
Job Information
Job Summary:
The Mansueto Institute for Urban Innovation seeks a highly motivated Senior Data Scientist to work closely with faculty and other researchers at the University of Chicago. This position manages all aspects of scientific research projects in conjunction with the faculty director, directs research associates (RAs) and other student researchers, and maintains compliance of research activities with institutional, state, and federal regulatory policies and standards.
Responsibilities:
Supports Mansueto Institute research at all stages: conception, data collection and cleaning, research design, analysis, visualization, and write up.
Helps prepare and co-author academic papers, research briefs, presentations, and external other publications targeting both policymakers and researchers.
Supports large and small-scale management and analysis of geospatial data, which includes data from a range of different sources, such as statistical agencies, municipal governments, and the proprietary datasets.
Works with partners and members of the research team to propose and implement analytical approaches to solving specific research questions.
Work with local, national, and international data repositories and historical datasets to support or advance research.
Design and build statistical models for a variety of research projects.
Assist with representing the institute and serve as liaison to new and existing partners, both internally and externally.
Attend and contribute to research team meetings as well as University of Chicago seminars and workshops, as appropriate
Oversees the development and deployment of computational workflows of and reviews code for consistency and quality.
Performs other related work as needed.
Competencies:
Conceptual and practical expertise in applied statistics and research design, including causal inference and predictive modeling.
Understand and translate researchers' scientific goals into actionable analytical work plans.
Fluency in data organization, manipulation and analysis.
Perform at a high level as part of an interactive multi-disciplinary team including faculty, students and other researchers while demonstrating self-initiative to achieve project's goals and align them with the Mansueto Institute's mission.
Identify and gain expertise in appropriate new methods, technologies and/or software tools.
Additional Requirements
Education, Experience, or Certifications:
Education:
Master's degree or higher in a technical field of study, such as data science, computer science, statistics, or a quantitative social science required.
Experience:
Five years of relevant technical work experience required, through education or prior employment.
Drafting and delivering research results, ideally in an academic or policy context.
Project management.
Technical Knowledge or Skills:
Computing and analysis experience with various datasets using standard industry software such as Python, Stata, and R.
Experience with statistical analysis applied to GIS data preferred.
Working Conditions and Physical Requirements:
This is a temporary position of approximately 25 hours per week.
Required Documents:
Resume/CV
Cover Letter
References Contact Information (3)
Analytical writing sample; a research paper or report written for a course or work assignment acceptable
When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.
Benefit Eligibility
No
Requires Compliance with University Covid-19 Vaccination Requirement
No
Pay Frequency
Hourly
Pay Range
Depends on Qualifications
Scheduled Weekly Hours
25
Union
Non-Union
Job is Exempt
No
Drug Test Required
No
Motor Vehicle Record Inquiry Required
No
Health Screen Required
No
Posting Date
2024-05-01
Remove from Posting On or Before
2024-11-01
Posting Statement:
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or 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 Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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