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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 field and 6 years of experience in predictive analytics or data analysis.
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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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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Qualifications Bachelor’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field, or the equivalent combination of education and related experience.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - 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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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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Bachelor’s Degree in a quantitative field of study, such as mathematics, computer science, physical sciences is required. The role brings an exciting opportunity to work with other members of the Corporate Catastrophe Solutions team within ERM, as well as senior stakeholders from the business including Underwriting, Actuarial, and Ceded Re. 1-3 years of relevant work experience in Catastrophe Modeling, preferably in Commercial Lines with a focus on portfolio modeling.
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OR- Graduate degree related to computer science, geography, GIS, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and three (3) years of work experience in geospatial analysis and programming.
$5,000 - $18,000 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform.
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BS in Engineering, Physics, Mathematics, Computer Science, Management Information Systems, Image Science, Remote Sensing, or related STEM degree program. Preferred MS in Engineering, Physics, Mathematics, Computer Science, Management Information Systems, Image Science, Remote Sensing, or related STEM degree program.
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Develop predictive data models, perform quantitative analyses, and create visualizations for foreign. Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering.
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A strong educational foundation, frequently a bachelor’s degree in computer science, mathematics, statistics, or a similar discipline, followed by a master’s or even a Ph. D. for more advanced responsibilities, is typically required to become a Data Scientist.
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Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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Our solution offers a next-generation approach to managing cyber risk by combining insurance, threat intelligence, security expertise, and AI-driven predictive modeling tools. We are a cybersecurity company, a Cyber and Tech E&O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one.
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predictive modeling computer science jobs Title: data scientist senior Company: Cvs Health
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