Data Science Analyst

About

Data Science Analyst for Chicago, IL location. Develop and maintain all data storage/data management systems to ensure quality and completeness. Cleans, transforms, merges, and matches between large and complex research datasets using econometrics methods and causal inference techniques. Ensure secure data storage, guaranteeing regular backups and storage in compliance with HIPAA, current best practices, and study requirements. Develop pipelines, processes and protocols to automate or streamline the creation, cleaning, and preparation for analysis of data sets. Lead the research, development, planning, and execution of a comprehensive enterprise architecture for research in developmental psychology, linguistics and applied public health. Perform data analysis, insight synthesis, and presentation. Technological environment: Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, and presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server.

Additional Responsibilities

Education

• Bachelor's degree in Information or Computer Science or related field plus 2 years of experience in data research required.

Required Skills

• 2 years experience with each: research techniques/methods including causal inference and econometrics; research in developmental psychology, linguistics or applied public health; Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, and presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server.
• Asynchronous & live coding test required.

Working Conditions

• Background check with review of conviction history required.
• Four days in office required.
• $74,922/yr-$100,000/yr + benefits (https://mybenefits.nfp.com/UChicago/benefits-guide/)

Benefit Eligibility

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.