The Clinical Analytics team creates innovative analytic tools to drive better healthcare outcomes. We’re currently seeking a Data Scientist to support the development and implementation of analytic capabilities that measure and enhance the value of integration of the company's products and programs. Responsibilities include developing advanced analytics, predictive models and machine learning/deep learning algorithms to identify care opportunities, prioritization of clinical recommendations, evaluation of program performance, and optimization of information delivery. The Data Scientist will collaborate with other data scientists and business partners and will participate in all phases of initiatives from exploration of clinical opportunities, development of solutions, to partnering with IT and business teams for implementation.

FUNDAMENTAL COMPONENTS:

• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Explores, examines and interprets large volumes of data in various forms
• Performs analyses of structured and unstructured data to solve moderately complex business problems utilizing advanced statistical techniques, machine learning algorithms, and mathematical analyses
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
• Uses data visualization techniques to effectively communicate analytical results and support business decisions
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data
• Explores existing data and recommends additional sources of data for improvements
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

REQUIRED QUALIFICATIONS:

• 2 or more years of experience with complex data management and analytics
• Strong knowledge of statistical methodology, predictive and inferential modeling, data mining and exploration and machine learning techniques
• Experience using R and/or Python to manipulate large datasets and deploy quantitative techniques ranging from descriptive statistics to deep learning
• Ability to write SQL code to extract, organize and aggregate data from various data sources (e.g. GCP, Hadoop, Netezza or DB2)

PREFERRED QUALIFICATIONS:

• Understanding of health care industry and clinical research concepts
• Demonstrates ability to clearly communicate technical concepts, results and implications to management and internal stakeholders