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Undergraduate junior or First year graduate student in a quantitative research field such as: Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data Science, Quantitative Social Sciences, Epidemiology, Engineering, etc.
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Student in a quantitative research field such as: Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data Science, Quantitative Social Sciences, Epidemiology, Engineering, etc.
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The ideal candidate will have a deep understanding of artificial intelligence, machine learning, and data science, coupled with a strong background in Pre-Sales Solution Architecture. Understanding IaC tools; e.g. Puppet, Ansible, CloudFormation, Terraform Expertise in networking, compute, storage and OS fundamentals Preferred: AI or ML specialty certification (cloud agnostic) Proficiency and/or willingness to pursue expertise across multiple clouds (AWS, Azure, Google) Deep understanding of data storage paradigms (e.g. databases, data warehouses, data lakes, etc.
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In addition, the Data Science Academy ( DSA ) at NC State seeks to create a nationally recognized hub of excellence in data science and analytics ( Raleigh, North Carolina is a progressive and welcoming community with a wide range of potential collaborators at nearby academic and governmental institutions in the Research Triangle.
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Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
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Qualifications: Bachelor’s degree in computer science, Engineering, or a related field Proven experience as a data engineer, with a strong focus on data migration, ETL, and data integration.
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Additional course offerings may include undergraduate and graduate classes in numerical weather forecasting, dynamics of synoptic weather systems, data assimilation, and meteorological applications of machine learning and artificial intelligence, as well as other applied or theoretical classes commensurate with the candidate’s interests and expertise.
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Demonstrates a thorough level of knowledge utilizing the Prophet actuarial valuation software, including:Model development using the US360 library and the modules for Statutory and GAAP valuation;Customization to Prophet code and implementation of non-standard product features and projection methodologies; and,Experience with FIS Data Conversion System (DCS) and Prophet Enterprise (PE) and their use in large-scale automated reporting processes.
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Certified Snowflake cloud data warehouse Architect (Desirable)Certifications in a cloud platform would be a plus, AWS preferred. Experience with data security and data access controls and design in Snowflake.
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By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs. Graduate Paramedic Required - And Associate's Degree Emergency Medical Science Preferred.
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Degree: Data science, computer science, Mathematics, statistics, or actuarial science as appropriate to the target position. Enrolled at least half-time at a qualifying educational institution; must be continuing enrollment through Spring 2026 in a qualifying degree/certificate program.
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You have a degree level in the field of Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program and gained first working experience in (IT-) Consulting or a similar area in the form of an internship.
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Advanced degree or equivalent experience in Statistics, Biostatistics, Econometrics, Economics, Epidemiology, Actuarial Science, or Data Science highly preferred. + Partner with other Data Science teams to support the Common Currency initiatives (Methodology, Governance, coordination of work and roadmaps across Data Science Verticals.
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Qualifications Position requires a Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field plus six (6) years of experience in the job offered or six (6) years of experience as a Technology Lead, Technology Analyst, Systems Engineer, Software Engineer, or related occupation.
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Liase with stakeholders, including the Fraudand Security Unit and Business Systems and Intelligence leadership, to ensure adequacy of vendor compliance and data security plan. Qualifications: Bachelor's degree in a relevant field (e.g., Information Management, Library Science, Project Management, Industrial Engineering, Information Systems, Business Administration, Computer Science.
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data science jobs in Raleigh, KS, Us
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