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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.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Work closely with the Chief Data and AI Officer to define and implement CVB's data science strategy, emphasizing systems modeling, multi-omics, and neuroimaging. Proficient in statistical methods, machine learning, generative AI, causal modeling, probabilistic graphical models, and other advanced data science techniques, especially those focused on the use of multi-modal data.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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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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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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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.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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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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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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.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
$158,960 - $286,130 a yearFull-timeRemoteExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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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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SMSD supports all aspects of advanced remote sensing system development: designing and assessing the performance of optics and electro-optical focal plane arrays, modeling the end-to-end sensing system, developing innovative data processing and computer vision algorithms, and producing simulated data products for new applications.
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
Full-timeExpandApply NowActive JobUpdated 1 month ago
predictive modeling computer science jobs Title: data scientist Company: Cgi
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