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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor DegreeRequired Fields of Study: Actuarial Science, Statistics, Mathematical Statistics, Economics, Mathematics, Applied MathematicsMinimum Years of Experience: 2 year(s) Preferred Qualifications: Preferred Knowledge/Skills: Demonstrates a thorough level knowledge of and success in technical roles involving model build and implementation, especially for Life and Annuity products.
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Positions exist that use everything from theoretical to applied mathematics and statistics, and vary from becoming a leading expert in a specialized niche to coordinating technical work across a wide array of disciplines.
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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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Applied Research Mathematician/ Mathematical Statistician - Entry to Mid Level (Maryland) Degree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field.
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MA/MS degree in a mathematical science field (Including Applied Mathematics, Computer Science, Statistics, Data Science) Use operations research methods and mathematical techniques to analyze acquisition problems, develop techniques in applied mathematics, and completes analytical studies.
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Bachelor’s or advanced degree in statistics, applied mathematics, computer science, or other relevant quantitative discipline, or equivalent industry experience. As a Data Scientist, you will be a technical co-owner of the data science business health tooling at Klaviyo.
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Undergraduate degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility.
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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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4 Year/Bachelor's degree (or equivalent) in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, or other quantitative major. 4 Year/Bachelor's degree (or equivalent) in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, or other quantitative major.
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Bachelor’s degree in Energy Management, Computer Science, Applied Mathematics or related discipline. Develop an understanding of fields to which statistical methods are can be applied.
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Bachelor's Degree in health informatics, information technology, computer science, statistics, applied mathematics, or equivalent relevant work experience. Bachelor's Degree in health informatics, information technology, computer science, statistics, applied mathematics, or equivalent relevant work experience.
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Bachelor's degree from an accredited college/university with a strong academic background in actuarial science, applied statistics, financial analysis, insurance, and mathematics. Experience in international financial reporting standards, predictive modeling, capital modeling, project management, leading and developing team members, leveraging analytics, and developing solutions beyond traditional actuarial work.
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