Senior Data Scientist

Overview

Turn data into critical information/knowledge that can be used to make sound organizational decisions for a healthcare organization. Mentor Data Scientists and other staff in the development of process improvement and evaluation opportunities to increase the efficiency of the reporting process. Combine seemingly unrelated data concepts to identify trends and solve complex problems. Design experiments and test hypotheses to support quality and/or financial performance improvement initiatives.

Evaluate options for complex problems using mathematics and statistical methods. Lead process discovery sessions to define operational definitions for data and identify stakeholders’ requirements in an ambiguous, constantly changing environment. Integrate and prepare large, varied datasets, architect specialized databases and computing environments from disparate data sources, specifically with Epic. Investigate program requirements as they are rolled out, determine optimal data sources and processes to stand up analytics to support these programs.

Develop and propose innovative ways to look at problems using data mining approaches on the available information. Validate findings using an experimental and iterative approach. Present analyses and/or findings to the business and validate the work in a way that can be easily understood by business stakeholders. Develop processes and tools to monitor and analyze model performance and data accuracy.

• Master’s Degree in Mathematics, Statistics, Engineering, Computer Science, Data Sciences, Social Sciences, Business Analytics, or related field.
• At least 2 years of experience in a position requiring use of technical software such as SQL, IBM SPSS, Tableau, or Python in developing data models, reporting, and analytical processes to support program requirements and stakeholders.
• Experience using statistical and data mining techniques; developing processes and tools to monitor and analyze model performance and data accuracy.
• Proficiency with statistical tools such as SAS, IBM SPSS, and data visualization/presentation skills, and Tableau.