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Title

Quantitative Research Methodologist, Triage Response Team 

About the Organization As a research and action organization, Center for Policing Equity (CPE) produces analyses identifying and reducing the causes of racial disparities in public safety. Using data-driven approaches to social justice, we use science to create levers for social, cultural, and policy change.



We are research scientists, race and equity experts, data virtuosos, and community trainers. We use data to build a more fair and just system. We partner with law enforcement and communities. Our aim is to bridge the divide of communication, generational mistrust, and suffering. But most of all, we are the path that science can forge towards public safety, community trust, and racial equity.


 
Location Remote  
Close Date  
Full-Time/Part-Time Full-Time  
Description

Position Description

CPE’s Triage Response Team (TRT) is a vertical that provides technical, programmatic, strategic, and data-driven services to a variety of clients who are invested in conducting analysis or strategic implementation towards redesigning local public safety systems, particularly by centering Black and Brown communities who are most impacted by burdensome policing.

CPE is looking for a skilled Quantitative Research Methodologist with a passion for research on public safety. This position reports to the VP of TRT. In this role, the Quantitative Research Methodologist will be responsible for developing and prototyping new analyses and analytic tools to advance CPE's mission and support key TRT services. They 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 including municipal officials, community groups, law enforcement agencies, and universities.

 

Key Responsibilities

  • Design and execute a wide array of new analyses to drive constant improvements to CPE's analytic products
  • 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 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
  • Strong 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 community specialists, analysts, engineers, and law enforcement professionals across the organization and with external partners
  • 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
 
EOE Statement The Center for Policing Equity strives to build a diverse team that is inclusive of multiple perspectives and welcoming for people of all backgrounds. Women and members of underrepresented communities are especially encouraged to apply.  

This position is currently not accepting applications.

To search for an open position, please go to http://PolicingEquity.appone.com


 


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