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Minimum of a Master's degree in applied mathematics, statistics, informatics, or computer science and at least 3 years of experience or an equivalent combination of education and experience required demonstrating expert knowledge or database and statistical programming required.
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Education : Master’s degree in quantitative social science, statistics, mathematics, economics, or other relevant field of study, or a bachelor’s degree in same fields with 8+ years using advanced modeling and statistical methods successfully in an applied research setting.
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Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
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QualificationsBachelor's Degree in Biomedical engineering, Mathematics, Statistics/Biostatistics, Neuroscience, Applied Physics, Computer Science/Informatics, or related data science field, and 4-5 years of experience or equivalent combination of education and experience is required.
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Bachelors degree in Mathematics, Statistics, Economics, Actuarial Services, or related field or equivalent work experience. Works with the actuary or management to ensure proper formulae are developed and applied.
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Advanced degree (Master’s or in Industrial Engineering, Operations Research, Applied Mathematics, or related fields. Experience with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving.
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Requires well rounded knowledge of applied mathematics including, algebra, geometry, trigonometry and handbook formulae to read and interpret drawings, specifications and complicated sketches.
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Degree in applied mathematics, computer science, IT, or data analysis. We specialize in providing agile enterprise solutions and innovative technologies to federal and state agencies, including the FAA, IRS, FEMA, and NASA. Recognized as one of America's fastest-growing private companies by Inc. 5000 for three consecutive years, our values diversity and fosters a supportive work environment.
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Bachelor’s degree required, Masters degree in a quantitative field preferred (Mathematics, Statistics, Computer Science, Data Science, Applied Science, etc). Experience working in common cloud platforms (AWS, Azure, GCP) and development environments (Databricks, Jupyter notebooks.
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BA or BS degree a quantitative field, such as computer science, engineering, physics, statistics, or applied mathematics. Strong understanding of machine learning algorithms and principles in both theoretical and applied settings, including regression analysis, time series, probabilistic/Bayesian models, supervised learning, and unsupervised learning (clustering, dimensionality reduction.
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Actuarial Science, Statistics, Mathematical Statistics, Applied Mathematics, Mathematics, Economics. AXIS experience including model development/maintenance, SQL/database ETL, VBA scripting, knowledge of DataLink and high level objects such as Fund, Embedded Block, or ALM.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists.
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Technical skills in computer-aided drafting and basic understanding of mathematics normally acquired through an Associate of Applied Science degree and/or related experience (includes Algebra, Geometry and Trigonometry.
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PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 3+ years of industry experience is desired. MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 5+ years of industry experience is acceptable.
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Bachelors degree in operations research, Applied Mathematics, Computer Science, Statistics, Electrical Engineering, or related fields; Masters/PhD preferred. Enverus innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions.
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applied mathematics jobs in Philadelphia, PA
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