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Machine Learning and pattern recognition: predictive analytics and modeling, computational causal discovery, intelligent analytics systems and front ends. Big Data Informatics: clinical and research data warehouses and datamarts, data wrangling, visualization, analytics, ontologies, online digital data.
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Designing and implementing digital supply chain solutions, applying technologies such as process automation, IoT, big data, artificial intelligence/machine learning, predictive analytics, blockchain, etc.
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In-House Research: Our in-house research teams constantly explore emerging trends, data sources, and predictive analytics to provide you with the latest market insights. Schedule: Hybrid (Flexible work from home days.
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Proficiency with Data Visualization, Predictive Analytics and Statistical Modeling. Advanced level of proficiency using R, SAS, Azure Databricks, Python, SQL,.net. Proficiency with Data Visualization, Predictive Analytics and Statistical Modeling.
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Demonstrable product management background with 4+ years in a data science, healthcare analytics or advanced/predictive analytics product management role. Experience as an agile product owner and in product management.
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Gain visibility with our company leaders Acquire the skills and knowledge to become a future leader in the medical technology and/or SaaS industriesBuild a lasting professional network through social events and engaging activitiesLet's Talk About Responsibilities:As a Market Research & Analytics Intern, you will work directly with talented individuals of all levels.
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Collaborate, act as a resource, and mentor other members of the Actuarial and Data and Analytics department on predictive modeling techniques and methods and advanced analytics data platform development.
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Experience in analytics, advanced analytics/statistics, predictive modeling with tools such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data.
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3+ years of work experience in an analytics-focused role with experience including digital marketing analysis, paid media management and application of predictive analytics. Bachelor's Degree, preferably in a quantitative or scientific field (Math/Stats, Analytics, Economics, Computer Science, Data Science or similar.
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Our software and predictive analytics cover the continuum of care, from hospital-to-home, across various medical specialties. Domain Expertise: Strong understanding of revenue cycle management in ambulatory and/or post-acute clinical specialties, with the ability to translate industry knowledge into actionable product strategies; SaaS solutions.
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McKinsey’s Social, Healthcare and Public Entities Practice fosters innovation driven by advanced analytics, user experience design thinking, predictive forecasting, and new product development.
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Execute predictive and inferential analytics, machine learning, and artificial intelligence techniques. 2 to 5 years experience in data analytics, statistics, data science, financial consulting, computer science or related field.
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From predictive analytics to data-driven marketing and attribution, our unique approach is powered by our proprietary, end-to-end tech platform that enables the brands we serve to deliver a level of personalization, value, and satisfaction that are unrivaled in the fashion industry.
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Utilize advanced analytics and predictive modeling to forecast HR trends, supporting strategic workforce planning and other key strategic initiatives. Senior Manager- People Analytics page is loaded Senior Manager- People Analytics Apply locations Arden Hills, MN (USA) time type Full time posted on Posted 2 Days Ago job requisition id R-30172 Senior Manager- People Analytics Has anyone ever called you an insights ninja or a data whisperer.
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Pricing Model Optimization: Utilize advanced analytics and predictive modeling to recommend pricing adjustments and structures based on internal cost. changes, market dynamics, and macroeconomic indicators.
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predictive analytics jobs in Minneapolis, MN
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