Quantitative Research Methodologist

Published date Posted on Indeed on Sep 14, 2021 (449 d ago)

Position Description
The Center for Policing Equity (CPE) is looking for a skilled Quantitative Research Methodologist with a passion for research on public safety. The 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 portfolio. 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.
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 basis. To 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

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