MDI Senior Data Scientist I - McCourt School of Public Policy
Georgetown University
Washington, DC
Job posting number: #7270666
Posted: August 8, 2024
Application Deadline: Open Until Filled
Job Description
RequirementsThe McCourt School of Public Policy at Georgetown University is a diverse community of problem-solvers, committed to moving bold ideas to action. We are global citizens conducting policy-relevant research and building bridges between our work and the communities we serve.
The MDI Senior Data Scientist I will to support research at the McCourt School of Public Policy with the U.S. Department of Education. This position will be part of the technical team of Research Engineers and Data Analysts, expanding our technical and analytical capability supporting research with the U.S. Department of Education, and possibly additional government agencies, and to assist with related research. Reporting to the Associate Professor in the McCourt School of Public Policy at Georgetown University, duties include, but are not strictly limited to the following:
Collaborate with research team members in designing and implementing studies, analyzing data, and publishing results from research projects.
Collaborate with government agency personnel, including analysts/programmers from other research teams in monitoring and assessing data quality.
Develop and manage database structuring and data management strategies as required for efficiency and compliance.
Assume primary responsibility for writing statistical design, methods, and analysis for research assignments.
Develop machine learning models to compliment the statistical design.
Assume primary responsibility for documentation and archiving of dataset
Contribute to writing statistical methods and results sections of reports and publications.
Support publication of research products as well as related projects online on the web and/or other channels.
Requirements and Qualifications
Master's degree in biostatistics, statistics, data science, econometrics or similar quantitative methods field
Minimum 5 years of experience in data analysis using statistical packages, STATA, Excel
Experience with Python, R, SQL and other programming languages – for example, Java
Experience designing and implement relational databases – for example, Postgres or a similar database management system
Experience with or willingness to learn Tableau
Experience in research protocols, quality assurance, and data privacy practices
Proven analytical and problem-solving skills
Ability to communicate with non-technical staff and all members of the project team
Ability to work both independently and in the team