Job description

Job Description Summary This position will provide independent consultation, advising colleagues on the planning and execution of analytical problem solving using
quantitative approaches. The focus of this role will be to solve business related problems using data-driven techniques. This includes design
and conduction of original analyses, research, statistical analyses, and data management. This position serves as a resource and
consultant across the system with accountability at both the system and site levels regarding sophisticated quantitative analyses. These
analyses will help identify areas of opportunity to improve health care quality, operations, and population health.

Major Responsibilities:
Performs analyses of key organizational initiatives using sophisticated analytical data science methods such as machine learning, deep learning, and text analytics.
Creates data sets for analysis and transforms the data to identify patterns and trends.
Designs statistical studies and oversees analysis plans.
Collaborates with project teams to achieve study objectives, deliver results on time, and ensure the quality of deliverables.
Consults on quantitative analyses and oversees statistical analysis plan execution.
Serves as consultant regarding content and methods to both internal and external contacts and support education throughout AAH on data science techniques.
Innovates statistical methods or adapts standard statistical methods as needed.
Communicates effectively with both internal and external clients, explains methods, interprets results, and creates effective tabular and graphical displays.
Develops sampling strategies and data verification methodologies.
Assists with the identification of systemwide improvement tactics, identifying areas of opportunity and ensuring organizational readiness. These opportunities will be identified as projects for eventual implementation of improvement tactics.

Education/Experience Required:
Education Required: Master’s degree in Data Science, Statistics, Math, or other related field requiring advanced analytics. Experience Required: Typically requires 5 years of experience in solving complex problems in an analytical environment.

Knowledge, Skills & Abilities Required:
Extensive experience solving analytics problems using quantitative approaches. Experience working with large data sets, manipulating, and analyzing complex, high-volume, high dimensional data from varying sources. Expert knowledge of analyses tools such as R, Python. Experience with machine learning and natural language processing. Data visualization expertise. Demonstrated self-directed, results oriented and creative approach to problem solving. Demonstrated ability to work independently with little supervision. Demonstrated ability to clearly synthesize and communicate findings and recommendations.
None Required.

Physical Requirements and Working Conditions:
Requires extensive amounts of time working at a computer. Work can be performed in an office environment or remotely.

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