167 Statistics uni jobs at The University of Chicago in america

Staff Data Engineer

areas related to data engineering (machine learning, statistics, databases, building data pipelines, etc.), demonstrated experience in software engineering, and, ideally, a demonstrated interest in data

Data Analyst

evaluation of statistical models and data processing pipelines, ensuring reproducibility and accuracy. Support high-level or complex data-related requests, liaising with other IT resources as required

Data Science Analyst

. Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling

Staff Scientist

, statistical methods, etc.). Collaborates with other researchers as appropriate. Participates in the preparation and writing of grant applications and reports, and co-authors scientific research manuscripts. May

Staff Scientist

, statistical methods, etc.). Collaborates with other researchers as appropriate. Participates in the preparation and writing of grant applications and reports, and co-authors scientific research manuscripts. May

Senior Manager, TMW Wearable Software

various internal data systems as well as from external sources. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and

Research Analyst

administrative datasets. Works with partners and members of the research team to propose and implement analytical approaches to solving specific research questions. Builds statistical models for a variety of

Research Technician

, and analysis, utilizing software tools and statistical techniques. Stay updated on the latest scientific advancements through literature reviews and contribute to the design and execution of experiments

Data Science Analyst

. Build and analyze statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Supervise contributions of specialized

Research Analyst

: Master’s degree in economics, statistics, computer science or related field. Experience: Coursework in statistics, econometrics, data science, and computer science. Strong background in applied statistics