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Advanced or basic degree (recent PhD from top university / MS with 5+ years experience) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on Machine Learning , AI , NLP , deep learning, and/or / data-driven statistical analysis & modelling.
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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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Our goal is to develop scalable methods and tools, and platforms to generate and evaluate high-quality data from both synthetic sources and human experts in various fields, including mathematics, sciences, creative writing, programming, art, and safety.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
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Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning.
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THE DEPARTMENT : The Department of Teacher Education offers the Multiple Subject Teaching Credential and the Single Subject Teaching Credential in Art, Dance, English, History/Social Studies, Mathematics (all areas including Advanced), Music, Physical Education, Science (General and Integrated), Theatre, and Languages Other Than English (Chinese, French and Spanish.
$15,211 a yearTemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong engineering background, preferably in computer science, mathematics, or other quantitative fields. Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts or programming languages.
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Bachelor's degree from an accredited college or university with a focus in financial engineering, computational finance, applied mathematics, statistical or equivalent quantitative discipline; Master's degree from an accredited college or university preferred.
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Bachelor’s in computer science, applied mathematics, engineering, or other quantitative area. Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
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BS Degree in Computer Science, CIS, Informatics, Mathematics, Engineering. Experience with process modelling, mining, simulation and risk/control/GRC facets of the business. Presales Lifecycle Management: The SSA provides high quality, business-oriented and technical support to the sales and pre-sales team to assure the product-oriented aspects of the sales campaign are strongly aligned with the business objectives of the prospect throughout the sales cycle.
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Understanding of portfolio management concepts/mathematics; CFA and/or CAIA designation is a plus. Understanding of portfolio management concepts/mathematics; CFA and/or CAIA designation is a plus.
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Bachelors degree in Economics, Statistics, Mathematics, Policy, Business, Finance, Sociology, Engineering, Physics or other related fields or equivalent work experience. Contribute to PG&Es EV True North strategy through policy advocacy in the regulatory and legislative arenas, guiding planning and commercial strategy, and tracking regulatory, legislative, and commercial market developments.
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Requirements: Attend a 16-week paid training program to gain skills and certifications in leadership, targeting mathematics, advanced weapons system operations, handling ammunition, and fitness.
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Due to the technical nature of the practice, an undergraduate degree or some experience in a scientific field (biology, chemistry, mathematics, or engineering) will be helpful, but is not required.
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Masters Degree in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in STEM field (Science, Technology, Engineering, or Mathematics.
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mathematics job in San Francisco, CA
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