Predoctoral Scholar - Machine Learning Data Scientist | University of Chicago (UC) - Military Veterans

Location: Chicago, IL Job Description: Collect, transform, and process raw and unstructured data into a usable data science format. Develop classification models using supervised and unsupervised machine learning/deep learning techniques for various research applications. Design and implement NLP algorithms and techniques for text preprocessing, feature extraction, sentiment analysis, semantic role labeling, and document classification. Visualize complex data for inclusion in manuscripts and presentations. Write documentation and using version control on GitHub, including communicating and documenting your process to other researchers on the project. Work collaboratively with a team of researchers. Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives. May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis. Performs other related work as needed. Preferred Qualifications Education: Bachelors Degree in Economics, Statistics or related disciplines. Experience: Previous research experience. Technical Skills or Knowledge: Proficiency in Stata; ability to use other statistical software packages (e.g., R, Python, or BASH). Significant coursework or experience in data analysis. Exceptional technical skills and a proven ability to creatively tackle difficult empirical problems. Preferred Competencies Proven ability to work effectively in small teams, demonstrating a strong desire to both learn from and mentor other team members. Excellent oral and written communication skills. High attention to detail and quality in data analysis and written material. Experience with or proficiency in R, Python, and Bash scripting. Experience with NLP techniques such as word and document embeddings. Experience using clustering and dimensionality reduction techniques such as K-means and PCA Experience implementing Neural Networks using Tensorflow, PyTorch, Scikit-Learn, OpenCV, deep learning, and other artificial intelligence techniques. Experience with image classification/recognition and tools to analyze illustrations in addition to photographs. Familiarity with Linux, UNIX, and High Performance Computing environment. Experiencing forming and testing hypotheses. Drive to learn new programming or data analysis techniques. Strong communication skills and the ability to break down complex technical problems. Significant knowledge of statistics and/or empirical economics research. Demonstrated ability to review and prioritize work independently and effectively. Demonstrated ability to be resourceful and creative in problem-solving. Working Conditions Predoctoral Scholar will be based out of Chicago, IL. Application Documents Resume (required) Cover Letter (preferred) References (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. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.