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Preference will be given to applicants with a research focus on Econometrics, Macroeconomics, Public Economics, or Industrial Organization, and those at the advanced assistant level. No Preferred Education/Experience Preference will be given to applicants with a research focus on Econometrics, Macroeconomics, Public Economics, or Industrial Organization, and those at the advanced assistant level.
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You have a strong record of academic achievement, likely to have studied to MSc or PhD level - Econometrics, Economics, Mathematics, Physics or similar discipline; gained at a Russell Group university.
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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, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Graduate education in a technical field (preferred: rigorous applied training including a PhD in economics / statistics / bioinformatics / cognitive science / physics / similar) We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, economics, and machine learning.
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Selects and applies mathematics, economics, econometrics, and/or statistics appropriate to solving research problems, such as the development of computerized mathematical resource allocation models (e.g., simulation), regression models, econometric projections, or workload forecasting models.
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2 - 4 years of hands-on marketing analytics experience in a professional environment or 1+ years with an advanced degree in Marketing Science, Data Science, Statistics, Economics/Econometrics, Operations Research, Computer Science, or Engineering.
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Masters in a related social science (e.g., economics, public health, health policy, public policy), statistics, mathematics, or computer science. Excellent quantitative analysis abilities, grounded in econometrics, health services research, epidemiology, statistics, or related field.
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Visiting Assistant Professor in Managerial Economics and Econometrics. While the Department welcomes applications from all fields, applicants who can teach undergraduate and graduate courses in managerial economics and econometrics are especially encouraged to apply.
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Excellent academic background in economics or econometrics from a top-tier background. A leading European bank is looking for a junior economist for their team in London to focus on US research.
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Bachelor’s degree in finance, economics, or related quantitative field (e.g., statistics, quantitative finance, econometrics). The Model Validation Risk Analyst is responsible for reviewing and assessing quantitative models as part of the company Model Risk Management framework.
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Selects and applies mathematics, economics, and/or statistics appropriate for solving operations research problems, such as the development of resource allocation models, data profiling, trend analysis, simulation, econometric projections, or classification models.
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MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research) Disney DTC is responsible for developing and operating The Walt Disney Company's direct-to-consumer video businesses globally, including the ESPN+ premium sports streaming service; Disney+, the dedicated streaming home for entertainment from Disney, Pixar, Marvel, Star Wars, National Geographic and BAMTECH Media, a global leader in direct-to-consumer video streaming products and solutions.
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6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis.
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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)Primary Location.
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Preferred: Bachelor's degree in a related field (Data Analytics, Data Science, Business Analytics/Administration, Economics/Econometrics, Computer Science, IT, or similar). Experience with Excel, SAS, SPSS, Python, R, ANOVA, MATLAB, Tableau, ESRI, Power Bi, Salesforce, Clari, AI/ML tooling & scripting.
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