Predoctoral Scholar - Machine Learning Data Scientist
University of Chicago (UC)
Application
Details
Posted: 02-Aug-24
Location: Chicago, Illinois
Type: Full-time
Salary: Open
Internal Number: JR27067
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:
Bachelorâ™s 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)
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