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We achieve these objectives through deep expertise in predictive analytics, statistics, econometrics, forecasting, experimental design, mathematical optimization, and business processes that leverage these analytical disciplines.
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Strong background in statistics, econometrics, operations research, or quantitative marketing: causal inference, time series analysis, mathematical modeling, linear and non-linear regression, stochastic modeling, mathematical optimization and consumer decision making theory.
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Degree from a top MBA program preferred + undergraduate education in finance, economics / econometrics, computer science, engineering, statistics, or other quantitative fields. Minimum of 8 years working in investment banking, management or strategy consulting, engineering, or high paced startup / operational environments.
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Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. In this pivotal role, you'll be instrumental in driving the sustainable evolution of our core infrastructure and foundational technologies that power Microsoft's leading online services, including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform.
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BS/MS/PhD in STEM or quantitative field (CS, Applied Statistics, Econometrics, Operations Research) and/or BS/MBA in Finance, Accounting, Economics, Business Analytics (preferred both) Design analysis/analytical frameworks and execute a data driven approach to provide insights and address questions from commercial leadership (i.e. CCO, SVP/VP Sales and Marketing, Key sales leadership, etc.
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Demonstrated academic training or empirical experience in econometrics or statistics, including data preparation and model estimation. The ideal candidate will have a PhD degree in Economics, Statistics, Finance, or related field preferred, Bachelor's Degree or equivalent experience is required, this is a remote position and requires the ability to work in a home office environment with the ability to work effectively surrounded by moderate home environment noise.
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The Department of Economics at Colorado State University invites applications for the positions of Continuing, Contract, or Adjunct Assistant Professor or Instructor to teach courses in microeconomics, macroeconomics, econometrics, and/or various applied fields, as positions become available.
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At least three of the following: Graduate-level training with 2 years' work experience in Financial Analysis, Microeconomics, Macroeconomics, Econometrics, Operations Theory, Public Policy Economics.
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Workrise is the fastest-growing tech startup focused on empowering the skilled trades workforce. Were a Series E startup, backed by industry-leading investors Founders Fund, Bedrock Capital, Andreesen Horowitz, Baillie Gifford.
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PhD in an appropriate field (i.e. Data Science, Econometrics, Agricultural and Natural Resource Economics, Evolutionary Ecology, etc.) PhD in an appropriate field (i.e. Data Science, Econometrics, Agricultural and Natural Resource Economics, Evolutionary Ecology, etc.
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You likely possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry. You likely possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry.
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We are looking for an Economist who will provide structure to ambiguous and complex business problems, develop solutions to these problems using economics, econometrics, machine learning and other scientific approaches, work with engineers to scale and launch science models in product, and initiate high impact projects in the compensation space.
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Are as a steadfast mediator between the business and the team and you possess masterful negotiation and relationship-building skills. Dedicated career advisor to encourage your growth. Embark on a journey where your expertise in data engineering shapes the future of business strategies.
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Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred.
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We are seeking candidates with PhD's and/or graduate degrees in economics or a related field with training in econometrics and quantitative methods. A concentration in applied microeconomics, labor economics, industrial organization, econometrics, or finance is preferred.
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