Data Scientist - Military Veterans

Location: Chicago, IL
Job Description:

• Contributes to the design, implementation, and validation of an efficient and reproducible data processing pipeline.
• Builds and rigorously evaluates statistical models using best practices of machine learning and statistical inference.
• Prepares project memos, summaries, presentations, reports, and other work products for dissemination targeting both policymakers, academic researchers, and other stakeholders, as needed.
• Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
• Performs other related work as needed.

Preferred Qualifications

Education:

• Bachelor's degree in computer science, statistics, data science, economics or a closely related field.

Experience:

• Proficiency with statistical data analysis and machine learning using Python or R. Ability to work in both is strongly preferred.

Preferred Competencies

• Advanced knowledge of machine learning techniques and algorithms.
• Experience developing reproducible and maintainable code.
• Excellent written and verbal communication skills, with the ability to present data in a simple and straightforward way for non-technical audiences.
• Strong interpersonal skills.
• Strong initiative and a resourceful approach to problem solving and learning.
• Ability to work independently and as part of a team in a fast-paced environment.
• Sound critical thinking skills.
• Strong attention to detail with superb analytical and organization skills.
• Familiarity with program evaluation and causal inference.

Application Documents

• Resume (required)
• Cover letter (required)
• Reference information (required)

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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