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A) A master’s degree from an accredited college or university in accounting, business, child welfare, counseling, economics, education, finance, human resources, labor relations, management, management science, nursing, operations research, organizational behavior, personnel or public administration, political science, psychology, sociology, social work, statistics, and/or urban studies may substitute for two years of experience; and/or.
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Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Degree preferably in engineering, economics, statistics, computer science, or related quantitative field.
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Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. The Commercial Analytics team at Pfizer is looking for a Director, Data Science who is passionate about crafting and implementing predictive modeling and statistical analysis to build end-to-end solutions and insights that have a direct impact on patient's lives and the future of Pfizer as a data-driven organization.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are seeking candidates who can teach a range of courses, including undergraduate and graduate courses, including abnormal psychology, research methods, statistics, personality, psychological assessment, developmental psychology, and courses that match the successful candidate's interests and skills and that meet Departmental needs.
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Contributes to improving antitrust / 2R offerings, including, but not limited to, maintaining project statistics, supporting sales team, developing marking material, keeping up to date on current trends, contributing to thought leadership, and developing efficient processes and training.
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About NYC Health + Hospitals
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Ideal candidate requirements given client and contract / portfolio requirements include US Citizenship, active security clearance (e.g. DoD Secret / Top Secret), prior expertise with portfolio and project management of US federal government agencies in a technology consulting context is preferred.
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Bachelor’s degree in Quality Management Systems, Quality Control, Quality Assurance, Security, Criminal Justice, Homeland Security, Accounting, Public Administration, Statistics, Public Policy or a related field from an accredited college or an equivalent combination of education from an accredited college and experience may be considered in lieu of a degree.
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Special consideration will be given to candidates who have teaching and/or clinical/research experience in neuropsychology, cognitive/behavioral neuroscience, or a related field. Applicants must have completed a PhD or PsyD in Psychology or a related area of psychology from an accredited program prior to joining.
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PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field. Strong theoretical foundations in probability & statistics, and causal inferencing techniques.
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Bachelor's degree in Economics, Finance, Statistics, Mathematics or Actuarial Science (willing to accept foreign education equivalent) plus three (3) years of experience performing actuarial services for insurance or annuity products.
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Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Experience with cloud computing (GCP, AWS or Microsoft Azure.
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Masters degree in mathematics, statistics, data science/analytics, engineering, computer science or a related quantitative field. Bachelor's degree in mathematics, statistics, data science/analytics, engineering, computer science or a related quantitative field with at least 5 years of Load Research or similar quantitative analysis experience.
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statistics job Company: Metroplus Health Plan in Manhasset, NY
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