Accuity
Data Scientist
Accuity, Fargo, North Dakota, us, 58126
Job TypeFull-time
DescriptionPRIMARY JOB RESPONSIBILITIES:Develops and manages predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic modelsDeploys solutions to provide actionable insights to the organization and integrates with application systemsDesigns and implements AI / ML and data modelsEnsures that AI & ML deliverables can be productionized and integrated into existing systemsSupports and drives analytic efforts aligned with the organization's strategic priorities and clinical/business problemsBuilds and extends the analytics portfolio supported by robust documentationStays abreast of state-of-the-art literature in operations research, statistical modeling, and mathematical optimizationCreates and communicates project plans and documentation, providing updates to leadership as necessaryDevelops and maintains relationships with business, IT, and clinical leaders across the enterpriseWorks with the analytics team and stakeholders to develop pilots for testing and validationPerforms analysis to evaluate primary and secondary objectives from pilotsAssists leadership with strategies for scaling successful projects and enhances analytics applications based on user feedbackPerforms 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 (including graduate program time for PhD applicants). Prior experience with Python and R is a must; experience with tools like WEKA, RapidMiner, or other open-source tools is 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* Ability to develop and deploy healthcare-relevant predictive and prescriptive models* Ability to perform standard statistical analysis* Ability to formulate and solve mathematical optimization problems and simulations* 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 to provide actionable insights to the organization and integrates with application systemsDesigns and implements AI / ML and data modelsEnsures that AI & ML deliverables can be productionized and integrated into existing systemsSupports and drives analytic efforts aligned with the organization's strategic priorities and clinical/business problemsBuilds and extends the analytics portfolio supported by robust documentationStays abreast of state-of-the-art literature in operations research, statistical modeling, and mathematical optimizationCreates and communicates project plans and documentation, providing updates to leadership as necessaryDevelops and maintains relationships with business, IT, and clinical leaders across the enterpriseWorks with the analytics team and stakeholders to develop pilots for testing and validationPerforms analysis to evaluate primary and secondary objectives from pilotsAssists leadership with strategies for scaling successful projects and enhances analytics applications based on user feedbackPerforms 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 (including graduate program time for PhD applicants). Prior experience with Python and R is a must; experience with tools like WEKA, RapidMiner, or other open-source tools is 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* Ability to develop and deploy healthcare-relevant predictive and prescriptive models* Ability to perform standard statistical analysis* Ability to formulate and solve mathematical optimization problems and simulations* 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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