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Over 8 years of experience in machine learning, predictive modeling, statistics, computer science, bioinformatics, or computational biology, specializing in neuropsychiatric disorders.
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PhD in Statistics, Mathematics, Computer Science, or related discipline, with a focus on neuroimaging, systems biology, or computational neuroscience and experience in neuropsychiatric disorders.
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You have good experience or understanding in the thermodynamic modeling of multicomponent systemsYou have good laboratory analytical skillsYou are a dedicated scientist interested in advancing materials science modeling in pharmaceutical research.
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You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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As a Data Science Intern at Kapitus, you'll support predictive modeling, data analysis, and explore analytics opportunities across various business domains. Data visualization and/or predictive modeling on one or more Kapitus business domains, such as credit risk, marketing, collection, fraud, operation, or customer service.
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Lead team focused on new technologies such as process automation, complex predictive modeling, artificial intelligence, machine learning and computer vision to improve how we do business.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g., regression, classification, Time Series analysis: e.g., ARIMA, Traditional machine learning methods: e.g., Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
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Bachelor s degree in in Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering, or another related STEM discipline.
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7 years of related experience with a Masters’ degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Physics, Mathematics, or other related degree.
$151,920 - $232,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced degree from an accredited program in in Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering, or another related discipline.
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Work hours should follow a regular schedule between 7-5, M-F. Salary range: $85,000-93,000 Qualifications Required Qualifications Bachelor's degree in a quantitative field such as statistics, computer science, data science, engineering or applied mathematics with at least two years of experience, or a master's degree Experience utilizing analytical software such as SQL, R, Python, Stata, data mining, and predictive analytics.
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This role demands a blend of expertise in data science and a deep understanding of the semiconductor industry, aiming to harness advanced data analytics, predictive modeling, and artificial intelligence to address complex business challenges.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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predictive modeling computer science jobs Title: scientist senior Company: Cgi
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