Data Scientist

Accuity Delivery Systems LLC•Mount Laurel, NJ

just now

About The Position

Position Summary: Accuity serves hospital and health system clients’ revenue cycle management needs by optimizing their financial results through a complete and compliant physician-led capture of the clinical record. To continue to improve outcomes for our healthcare clients, Accuity has developed technology-enabled intelligence to supplement our unique approach anchored in clinical expertise. To continue to increase the reach of services, driving business growth through the application of modern data science methods, Accuity is seeking a Data Scientist to join a team of skilled resources in support of the strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have 3+ years of experience with Machine Learning, Predictive Modeling, Statistical Analysis, Mathematical Optimization, Algorithm Development, Artificial Intelligence, and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. Requirements

Requirements

Master’s degree in applied mathematics, physics, computer science, engineering, statistics or a related field required
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)
Robust experience with SQL
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

Nice To Haves

Experience with discrete-event-simulation strongly preferred
Experience with Big Data technologies, including Hadoop
Experience with text mining and Natural Language Processing (NLP) desirable

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