Job details
Job type full-time
Full job description
Location
Remote
Position description
The center for policing equity (cpe) is looking for a skilled quantitative research methodologist with a passion for research on public safetyThe role is within the product discovery research and development (r&d) team, which is dedicated to accelerating cpe`s capacity to eliminate biases and disparities in law enforcement outcomes by driving constant innovation and improvement of cpe`s data-driven interventions.
The quantitative research methodologist will be responsible for co-developing and prototyping new analyses and analytic tools to advance cpe`s mission and support key cpe products across the justice initiatives portfolioThey will formulate new research questions, develop analysis plans, review and synthesize relevant scholarly literature, wrangle and clean datasets, design and perform advanced statistical analyses, ensure the quality of analyses, and present the findings of their analyses to a wide array of stakeholders.
This position reports to the director of r&d.
Key responsibilities
Design and execute a wide array of new analyses to drive constant improvements to cpe`s analytic products
Design analytic plans to support new programs being developed by the product discovery team
Perform reviews of analyses conducted by other researchers at cpe and provide constructive feedback and recommendations
Develop analytic tools and libraries in python and/or r to enable more advanced and efficient data analysis
Present new tools and analyses to stakeholders from across cpe and its partners in a way that is clearly understandable to audiences with a diverse array of backgrounds
Contribute to the production of academic research articles and public-facing reports that explore the intersection of law enforcement and racial equity
Qualifications (required)
Master`s degree in a relevant discipline (sociology, psychology/psychometrics, demography, political science, economics/econometrics, data science, etc) or relevant professional experience commensurate with a master`s degree
At least three (3) years professional experience in applied research or quantitative analysis
Fluency with advanced statistical techniques including multilevel regression and bayesian inference
Intermediate-level database experience (writing sql queries involving more than one table/view, familiarity with relational database models), experience operating in a cloud environment, and experience analyzing large distributed datasets using technologies like hadoop and/or spark
Proficient with statistical programming in python or r and familiarity with jupyter or r markdown
Excellent oral and written communication skills and aptitude for working with multiple project teams and coordinating concurrent projects
Some experience working with geospatial data (arcgis, geopandas, etc)
Ability to produce compelling data visualizations using python/r and a bi tool such as tableau/powerbi/etc
Ability to collaborate effectively with a diverse staff of scholars, analysts, engineers, and law enforcement professionals across the organization
Ability to function effectively both independently and as part of a geographically distributed team
Qualifications (preferred)
Phd in a relevant discipline (sociology, psychology/psychometrics, demography, political science, economics/econometrics, data science, etc)
5+ years of experience in applied research
Experience with deep learning, nlp, and/or image recognition
Advanced database skills (ability to create and manage databases, ability to write complex sql queries involving multiple tables/views, and/or knowledge of non-relational databases and graph databases)
Advanced python programming skills (object-oriented programming, parallel processing/multithreading, etc)
Advanced computer programming skills (shell scripting, cloud computing, and/or experience in an advanced programming language like c/c#/c++, java, rust, etc)
Experience with policing data and/or professional experience in a criminal justice-related discipline
Application submission guidelines
Applications will be considered on a rolling basisTo apply, please submit the following materials:
Cv/resume
Cover letter
Two writing samples (peer-reviewed journal article, technical reports, white paper, data visualization product, etc.)
Job type: full-time
Work location: multiple locations
