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Statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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The Department of Mathematics & Statistics offers degree programs in Pure Mathematics, Applied Mathematics, Statistics, and Mathematics Secondary Education at the B.S. level, Applied Mathematics at the M.S. level, and a doctoral concentration in Data Science and Analytics within the multidisciplinary PhD program in Applied Science and Technology.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Computational Applied Mathematics at CSUFThe department has an active group of faculty whose teaching focuses on modeling and computation at both the undergraduate and graduate levels, and whose research is transdisciplinary with areas of expertise that include aerospace engineering, agent-based modeling, cellular biology, epidemiology, small-scale systems, wave-type phenomena, and stochastic processes.
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment.
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An interdisciplinary team from five institutions (The University of Texas at El Paso, FSU, The University of Utah, Sandia National Lab, and Alma Energy LLC) with expertise in diverse disciplines (applied mathematics, data science, geoscience, and engineering) will collaborate on this project.
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Technical skills in computer-aided drafting and basic mathematics (Algebra, Geometry, Trigonometry) from an Associate of Applied Science degree or related experience. The role handles low to moderate complexity tasks, prepares necessary drawings and data, and interacts with other departments to resolve customer order and manufacturing issues under the supervision of the Drafting Manager/Supervisor.
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Our staff have varied backgrounds, such as accounting, business/economics, public policy, mathematics, government, music, radio-television- film, philosophy, and sports management. Auditor III Bachelor’s degree (copy of transcript requested upon interview) or Master’s degree in accounting, business administration, computer science, computer/management information systems, economics, finance, math, public affairs or related fields.
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QualificationsMaster’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields. Our experts have decades of experience and specialize in areas such as healthcare policy, finance, care delivery and clinical economics, reimbursement, operations, regulatory compliance, and health data and data management.
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Strong knowledge of applied agricultural economics, crop production, and agricultural technology. -Five or more years of experience working in agricultural economics or farm business management, Cooperative Extension, or related field.
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONS- Ph. D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
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Bachelor degree required in business, economics, finance, hospitality, data science, computer science, statistics, mathematics, or applied sciences. Three (3)+ years of experience with analytical tools, including SAS, R, Python, SQL. Experience with data visualization software similar to Tableau, PowerBI, or SAS Visual Analytics.
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Ph. D. in Materials Science, Physics, Chemistry, Chemical Engineering, Electrical Engineering, Applied Mathematics or a related field. Staff-led science goals include building a world-leading computational program in research areas that potentially include, but are notlimited to, computational nanoscience, quantum information science, multi-scale materials modeling, data science, artificial intelligence, machine learning and high-performance computing.
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Required Education and Experience Master’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of proven experience or an equivalent combination of education and demonstrated experience.
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