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Bachelor’s degree from an accredited college/university in Engineering, Management, Accounting, Finance, Business Administration, Mathematics, or related discipline. Associates perform project schedule, cost, productivity and statistical analyses as well as assist with review of key project issues through document review and database creation/management.
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To fulfill this role, a risk professional is required who has experience in market risk management and credit risk management areas, or has training in finance, mathematics or other quantitative fields.
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Consistently enhance knowledge of: principles, practices, techniques, and methods of accounting and auditing; insurance examination and regulation; insurance laws and Insurance Commissioner's rulings; and related Attorney General opinions and court decisions; insurance company practices; statistical sampling procedures; basic actuarial mathematics; principles and practice of effective supervision, insurance companies and health care organizations.
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Experience using Microsoft Excel, Minitab, Tableau or equivalent tools for statistical analysis. Bachelor's of Science Degree in a STEM (Science, Technology, Engineering, and Mathematics) related field with 9+ years of relevant experience; 7+ Years with Masters; or 4+ Years with PhD.
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PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or quantitative discipline, including but not limited to Cognitive Science, Neuroscience, Economics, Behavioral Economics, Mathematics, Physics, Biology, Chemistry or Statistics.
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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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Requirements: BS/BA degree in computer science, mathematics, statistics, or related discipline and + years' experience in the Biopharmaceutical (or CRO) industry as a statistical programmer with advanced knowledge of SAS, (Base, Stat, Macro, graph.
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Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Well versed with and have experience applying various statistical methodologies including Bayesian and non-parametric techniques, hypothesis testing, ANOVA, Regression, fixed and random effects etc.
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Ideal candidate will serve as lead analyst and recognize agency expert performing professional and scientific work requiring the design, development and adaption of mathematical, statistical, econometric and other scientific methods and techniques for operational test and evaluation of Intercontinental ballistic missile (ICBM) flight testing.
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Proven mastery with data mining, mathematics, and statistical analysis. Masters degree (or equivalent) in statistics, applied mathematics, or related discipline. Masters degree (or equivalent) in statistics, applied mathematics, or related discipline.
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This position supports statistical programming activities for multiple and/or late stage drug/vaccine clinical development projects. Ability to complete statistical programming deliverables through the use of global outsource partner programming staff.
$130,960 - $206,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Statistical software such as R or SAS, scripting languages such as Python and SQL preferred. Bachelor’s Degree (Required) in Business Analytics or Economics, Mathematics, Statistics or related field or equivalent combination of education and/or experience.
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Advanced knowledge in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus three years of experience, or PhD in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus zero years of experience, or any suitable and equivalent combination of education and work experience.
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Use applied mathematics and quantitative skills as needed for modeling tasks, impact analysis, scenario planning, forecasting etc. Develop, train, and deploy statistical and machine learning models for revenue, campaign optimization, customer LTV, click propensity, action sequencing, personalization, and segmentation.
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Data science, machine learning, optimization models, Master's degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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