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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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Experience working in government or a large commercial enterprise in an enterprise architect, cloud architect, or data architect role where you have applied industry standards such as DAMDMBOK, DGI, TOGAF, or DoDAF at scale.
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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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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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Present complex information using data visualization techniques. 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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Essential SkillsBachelor's / Master’s or degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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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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8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence.
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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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Advanced knowledge of statistical and data mining methods, techniques, formulas, and tests. Take ownership of end-to-end data and analytics that supports a key AML priority. Strong analytical and problem-solving skills, experience extracting and merging data from different database environments, including Hadoop.
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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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