Description
Join our dynamic team in the Social Science Data and Computation Lab as a Data Scientist, becoming an integral part of our academic community. You will report to the chairs of the Departments of Economics, Government, and Quantitative Social Sciences, leveraging your expertise in data science and statistical analysis to support faculty and students in their research endeavors.
Key Responsibilities
- Project Design: Partner with faculty and students to determine data needs and contribute to the design and execution of research methodologies.
- Data Preparation: Guide and assist in the collection, cleaning, and preparation of data for analysis, ensuring its accuracy and suitability for research.
- Statistical Analysis: Apply statistical and data analysis tools, such as Stata, R, and Python, to conduct complex analyses and modeling, providing actionable insights.
- Data Visualization: Create clear and impactful data visualizations, reports, and presentations to effectively communicate research findings.
- Instruction: Lead short workshops to help undergraduate students in the social sciences become proficient with statistical software.
- Maintain Expertise: Stay current with emerging trends and advancements in data science and contribute to best practices in research data management and analysis.
- Diversity and Inclusion: Demonstrate a commitment to diversity, inclusion, and cultural awareness in all interactions and communications.
Required Qualifications
- Master’s degree in data science, economics, political science, statistics, computer science, or a related field, or equivalent experience.
- Proven track record in a research setting with contributions to original research projects.
- Proficiency in statistical analysis, data modeling, and machine learning techniques, with strong skills in Stata and R.
- Excellent communication and collaboration skills, with the ability to work effectively with faculty and students from diverse academic backgrounds.
- Familiarity with academic research processes and ethical considerations in data analysis.
Preferred Qualifications
- Experience in a university or academic research environment.
- Knowledge of data visualization tools and techniques.
- Familiarity with Python and GIS tools.
- Experience applying emerging AI tools, especially large language models, to social science problems.
Application Instructions
To Apply, Please Submit The Following
- Resume
- Cover letter
- Most recent academic transcript
- Document with the names of two recommenders who will submit confidential letters of recommendation via Dropbox.
Confidential letters of recommendation should be uploaded by the recommenders at [Dropbox link].
Additional Information
- Background Check: Employment is contingent upon successful completion of a pre-employment background check.
- Tobacco-Free Policy: Smoking and tobacco-based products are prohibited in all areas owned, operated, or occupied by our organization.
For more details, please visit our website.
Employment Type: Full-Time