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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree or equivalent work experience required in quantitative discipline (Mathematics, Statistics, Computer Science, Finance, Economics, or similar), and 2+ years in a business developer role using Epic systems.
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Projects will include fraud detection, prevention and mitigation in novel arenas, such as our first-to-market Income Protection program; risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.
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Lead, coach, mentor, empower, and develop a team of professionals to conduct advanced analytics leveraging predictive modeling, machine learning, data mining, data visualizations, simulation, and optimization; interpret disparate data/complex data sets/ structured and unstructured data and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
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OR a Bachelor’s degree and 10+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience. To be considered for this opportunity you must have a Master's degree completed by start date and 6+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.
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Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.) Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.
$111,000 - $183,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum Required Education: Master’s degree or Doctoral degree (preferred) in data analytics, business, psychology, information management, information systems, computer science, statistics, educational research, or relevant field from an accredited college or university.
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EDUCATION REQUIREMENT : Possession of a bachelor's or graduate degree from an accredited college or university in Data Science, Business Analytics, Information Systems, Engineering, Mathematics, Marketing, Informatics, Physics, Statistics, Computer Science or other field which required focused coursework in data analytics and/or scientific methodologies.
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OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
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Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) - Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or related field and 5 years of experience in a data science or analytics field in a marketing or digital marketing context.
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Within the North American Applications Consulting Analytics and Business Intelligence team, we provide predictive analytics and strategic actionable insights leveraging the Oracle Analytics Cloud application.
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