Crime Lab New York is seeking a research analyst to work on our portfolio of projects applying statistical inference, econometrics, and machine learning to pressing challenges in public policy and criminal justice. We’re seeking a smart, motivated, and detail-oriented person who is qualified to work on all aspects of a project – ranging from raw data cleaning and basic descriptive analysis to developing predictive models and evaluating the effects of public policies. This position offers the opportunity to work directly with leading researchers and policy-makers on projects with immediate real-world impact. In addition, the data scientist will collaborate closely with PhD-level economists and computer scientists, as well as Crime Lab leadership.
Contributes to the design and implementation of an efficient and reproducible data processing pipeline
Builds and rigorously evaluates statistical models using best practices of machine learning and statistical inference
Works with partners and members of the research team to propose and implement analytical approaches to solving specific research questions
Cleans, transforms, merges, and matches between large and complex research and administrative datasets
Performs sampling, power analysis, and randomization
Prepares project memos, summaries, presentations, reports, and other work products for dissemination targeting both policymakers, academic researchers, and other stakeholders, as needed
Advanced knowledge of machine learning, statistics, or econometrics. The ideal candidate will have expertise in either machine learning or econometrics, and will have exposure to—and excitement to learn about—the other
Strong interpersonal skills
Strong initiative and a resourceful approach to problem solving and learning
Ability to work independently and as part of a team in a fast-paced environment
Sound critical thinking skills
Strong attention to detail with superb analytical and organization skills
Excellent written and verbal communication skills, with the ability to present data in a simple and straightforward way for non-technical audiences
Education, Experience, and Certifications:
Bachelor's or Master's degree required in computer science, statistics, data science, economics or a closely related field
Two years experience required (experience in school counts towards requirement)
Technical Knowledge or Skills:
Proficiency with statistical data analysis using Python or R is required; ability to work in both is preferred
A sample of data work, such as a final report for a class project, link to a GitHub repo, or blog post
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
Depends on Qualification
Scheduled Weekly Hours
Job is Exempt?
Drug Test Required?
Does this position require incumbent to operate a vehicle on the job?
Health Screen Required?
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