Offer summary

Qualifications:

Substantial research experience in quantitative research methods., Proficiency in R or another programming language for data manipulation., Strong organizational and writing skills, including experience with peer-reviewed manuscripts., Experience supervising data teams and collaborating with diverse stakeholders..

Key responsabilities:

Craft new data project plans and methodological approaches for carceral morbidity data.

Manage the data team and oversee internal collaborations to enhance policy impact.

Strategize the incorporation of outside datasets into research projects.

Supervise the team’s Data Analyst, Data Scientist, Senior Research Scientist, and student research assistants.

Job description

Special Instructions to Applicant:

To be considered for this position applicants should include both a resume and a cover letter with their application.

This is a 2-year contract position.

Position Summary:

While the Senior Data Scientist (Supervisor) will learn from the Project’s previous iterations, the new carceral mortality and morbidity agenda will be a significant expansion for the team. As such, in addition to being a core member of our Data Team performing a proportionate share of the Data Team’s work, the Senior Data Scientist (Supervisor) will be responsible for crafting new data project plans and methodological approaches, strategizing incorporation of outside datasets, and managing the data team along with internal collaborations to maximize impact on policy and practice. They will also articulate, in consultation with the Project’s Faculty Directors, a strategic vision for the expanded collection, processing and analysis of carceral morbidity data. The Senior Data Scientist (Supervisor) will supervise the team’s Data Analyst, Data Scientist, Senior Research Scientist, and several student research assistants.

Required:

Substantial research experience.
Experience planning and executing quantitative research including data collection, cleaning, analysis, and publication
Experience working with datasets that include missing, unstructured, and/or incorrect data.
Experience establishing relationships and working with diverse collaborators (e.g., local advocates, government officials, and journalists) with varying levels of technical literacy.
Strong organizational skills for project planning, data collection procedures, and complex research activities.
Proficiency using R or another programming language to manipulate data and draw insights from large, complex datasets.
Strong writing skills, including experience with peer-reviewed manuscripts.
Experience using git/GitHub to track tasks and data acquisition processes, and regularly update data on GitHub.
Experience supervising similarly sized data teams and working with diverse collaborators with varying levels of data literacy.

Preferred:

Prior building or maintaining productionized ETL pipelines in R or Python.
Experience with public record requests and creating impactful data visualizations for social media and news reports.
Experience creating impactful data visualizations for social media and reports.
Experience developing open-source datasets and GIS platforms.
Experience planning and executing quantitative data projects including collection, cleaning, analysis, and archiving.

Required profile