Accuity
Data Scientist
Accuity, Salt Lake City, Utah, United States, 84193
Job TypeFull-time
DescriptionPRIMARY JOB RESPONSIBILITIES:Develops and manages predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic modelsDeploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systemsDesign and implement AI / ML and data modelsEnsure that Artificial Intelligent (AI) & Machine Learning (ML) deliverables can be productionized and integrated into existing systems and processesSupports and drives analytic efforts designed around organization's strategic priorities and clinical/business problemsBuilds and extends our analytics portfolio supported by robust documentationStays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimizationCreates and communicates project plans and other required project documentation and provides updates to leadership as necessaryDevelops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communicationWorks with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settingsPerforms analysis to evaluate primary and secondary objectives from such pilotsAssists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumersPerforms miscellaneous job-related duties as assigned
RequirementsPOSITION QUALIFICATIONS:Education:* Master's degree in applied mathematics, physics, computer science, engineering, statistics or a related field requiredExperience:* 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) desirableKnowledge, 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* Ability to use a PC in a Windows environment, including MS Word* Independent, focused individual able to work remotely or on-site
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DescriptionPRIMARY JOB RESPONSIBILITIES:Develops and manages predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic modelsDeploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systemsDesign and implement AI / ML and data modelsEnsure that Artificial Intelligent (AI) & Machine Learning (ML) deliverables can be productionized and integrated into existing systems and processesSupports and drives analytic efforts designed around organization's strategic priorities and clinical/business problemsBuilds and extends our analytics portfolio supported by robust documentationStays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimizationCreates and communicates project plans and other required project documentation and provides updates to leadership as necessaryDevelops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communicationWorks with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settingsPerforms analysis to evaluate primary and secondary objectives from such pilotsAssists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumersPerforms miscellaneous job-related duties as assigned
RequirementsPOSITION QUALIFICATIONS:Education:* Master's degree in applied mathematics, physics, computer science, engineering, statistics or a related field requiredExperience:* 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) desirableKnowledge, 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* Ability to use a PC in a Windows environment, including MS Word* Independent, focused individual able to work remotely or on-site
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