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Education: A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent. Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Applicants will be asked to complete the Data Science Examination (DSE) evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work.
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Ideal candidates will have a minimum of a Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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A Masters’ Degree or Ph. D. in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research or related field. Undergraduate degree in a highly analytical discipline (Computer Science /Physics /Mathematics /Econometrics) or equivalent.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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A Ph. D. Degree in Data Science, Data Analytics, Mathematics, Applied Mathematics, Statistics or related fields is required by May 2024. Ph. D. degree in Data Science, Statistics, Mathematics, Applied Mathematics, or related fields.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Data science at the National Security Agency (NSA) is a multi-disciplinary field that uses elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make, and communicate principled conclusions from data.
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A Masters or PhD in Applied Mathematics/Statistics, Computer Science, Operations Research, Mathematical Finance or other relevant field. The Trafigura Group owns global multi-metals producer Nyrstar; fuel storage and distribution company Puma Energy; and joint ventures Impala Terminals, a port and logistics provider, and Nalo Renewables, investing in wind, solar and battery storage projects.
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Bachelor’s degree in mathematics, statistics, business, law, engineering, social sciences, physical/applied science, or management discipline such as business administration, accounting, finance, economics or management information technology.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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BSc/ MSc or PhD in Geophysics or other applied science fields (e.g. physics, mathematics, electrical engineering). BSc/ MSc or PhD in Geophysics or other applied science fields (e.g. physics, mathematics, electrical engineering.
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applied mathematics jobs in Houston, TX
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