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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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Associates degree and 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
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The Department of Mathematics & Statistics offers degree programs in Pure Mathematics, Applied Mathematics, and Statistics & Data Science at the B.S. level, Applied Mathematics, and Data Analytics at the M.S. level, and a doctoral concentration in Data Science & Analytics within the multidisciplinary PhD program in Applied Science and Technology.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression.
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Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement.
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Master's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline preferred. Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. This individual has deep technical expertise in measurement methods and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts and integration of 1P/3P data sources.
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The Applied Mathematics Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for the Amalie Emmy Noether Fellowship in applied mathematics and scientific computing.
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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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Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics. 5+ years of experience in applied data science or quantitative research or related role.
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Take ownership of end-to-end data and analytics that supports a key AML priority. Advanced knowledge of statistical and data mining methods, techniques, formulas, and tests. Strong analytical and problem-solving skills, experience extracting and merging data from different database environments, including Hadoop.
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Key qualifications: A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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Preferred Qualifications for Principal Quantum Modeling Physicist:PhD in theoretical physics, applied mathematics, or a relevant engineering field. Preferred Qualifications for Sr. Principal Quantum Modeling Physicist:PhD in theoretical physics, applied mathematics, or a relevant engineering field plus 4 years of relevant professional experience.
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data science applied mathematics jobs Title: analytics data science manager
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