Supports faculty, business and research customers with data science services on a variety of projects which may include population health, education research, workforce analytics, program evaluation, applied statistics, personalized medicine and translational research.
Builds models that incorporate diverse data sets representing administrative, clinical and social health indicators when applicable.
Apply a variety of methods such as statistical analysis, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
Perform as a results-oriented problem solver to quickly synthesize complex scenarios, connect abstract patterns/information, apply appropriate methods, and implement practical and timely solutions.
Demonstrate and embrace a collaborative approach to fully realize the talents of colleagues such as data stewards, IT staff, business analysts, business stakeholders and industry experts.
Assess the impact of computer networking and data warehousing on data use and analysis when applicable.

Designs and produces high-quality data visualizations, dashboards, graphical reports, and other visual products that communicate complex findings clearly and effectively to both technical and non-technical audiences including state agency partners and policymakers.

Statistician

Key skills