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Data science, machine learning, optimization models, Master's degree 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.
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Masters degree and 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or commercial operations experience.
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Hold a Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Applied Mathematics, or Engineering. Desirable qualifications may encompass certifications like PMP (Project Management Professional), CAPM (Certified Associate in Project Management), or similar project management certifications.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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A Master’s degree or a PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or Computer Science/Engineering. The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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PhD, MS + 2 years, BS + 4 years of work experience in Computer Science, Machine Learning, Mathematics, Statistics, Operational Research or related quantitative fields. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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To be considered for this opportunity you must have a Master's degree completed by start date and 7+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience OR Bachelor’s degree and 12+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.
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Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on entry-level ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Minimum Qualifications Ph. D. in a Statistics, Biostatistics, Applied Mathematics, Epidemiology or other relevant area, and/or M.D., or equivalent and typically two years of exemplary postdoctoral experience.
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Bachelor s (Masters preferred) in a quantitative or computational field such as Computer Science, Applied Mathematics, Statistics, Engineering. We assist companies and non-profit organizations in delivering benefits to their employees.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience. As an SDS Machine Learning Engineer, you will employ predictive modeling and statistical analysis techniques to build end-to end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.
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The research interests of the faculty range over many areas, including statistics, computational and applied mathematics, analysis and differential equations, and others. The Ph. D. program has three emphasis areas: mathematics, computational and applied mathematics, and statistics.
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Actuarial Science, Statistics, Mathematical Statistics, Economics, Mathematics, Applied Mathematics. You’ll provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modelling, underwriting, new legislation, and the efficiency of claims or reporting processes.
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Experience with FIS Data Conversion System (DCS) and Prophet Enterprise (PE) and their use in large-scale automated reporting processes. Innovating through new and existing technologies along with experimenting with digitization solutions.
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Utilizing digitization tools to reduce hours and optimize engagements. Model development using the US360 library and the modules for Statutory and GAAP valuation; Providing candid, meaningful feedback in a timely manner.
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Demonstrates a thorough level knowledge of and success in technical roles involving model build and implementation, especially for Life and Annuity products. Delegate to others to provide stretch opportunities, coaching them to deliver results.
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