Data Scientist

Description

PRIMARY JOB RESPONSIBILITIES:

• Develops and manages predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models
• Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems
• Design and implement AI / ML and data models
• Ensure that Artificial Intelligent (AI) & Machine Learning (ML) deliverables can be productionized and integrated into existing systems and processes
• Supports and drives analytic efforts designed around organization’s strategic priorities and clinical/business problems
• Builds and extends our analytics portfolio supported by robust documentation
• Stays abreast of state-of-the-art literature in the fields of operations research,  statistical modeling, statistical process control and mathematical optimization
• Creates and communicates project plans and other required project documentation and provides updates to leadership as necessary
• Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication
• Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings
• Performs analysis to evaluate primary and secondary objectives from such pilots
• Assists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers
• Performs miscellaneous job-related duties as assigned 

Requirements

POSITION QUALIFICATIONS:

Education:

· Master’s degree in applied mathematics, physics, computer science, engineering, statistics or a related field required 

Experience:

· Background in computer science, operations research, statistics, or a physical engineering discipline

· 3+ years of Machine Learning/Predictive Analytics and Mathematical Optimization experience (to include time in graduate program for applicants with PhD degrees). Prior experience with Python and R is a must (experience with tools such as WEKA, RapidMiner, or other open-source tools are strongly preferred)

· Experience with discrete-event-simulation strongly preferred

· Robust experience with SQL

· Experience with Big Data technologies, including Hadoop

· Experience with text mining and Natural Language Processing (NLP) desirable

Knowledge, Skills, and Abilities:

· Ability to develop and apply computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resource, quality and supply chain)

· Ability to develop and deploy healthcare-relevant predictive and prescriptive models

· Ability to perform standard statistical analysis

· Ability to formulate and solve mathematical (deterministic and stochastic) optimization problems and simulation

· Intermediate development skills

· Ability to combine analytic methods and advanced data visualizations

· Expert ability to break down and clearly define problems

· Independent, focused individual able to work remotely or on-site