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Master's in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Master’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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The faculty in the department conducts research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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We offer a Ph. D. degree in Computer Science and Engineering, M. S. degrees in Artificial Intelligence, Computer Engineering, Computer Science, Cybersecurity and Data Engineering, ABET-accredited B. S. degrees in Computer Science and Computer Engineering, an ABET-accredited B. A. degree in Information Technology, and a new B. S. degree in Cybersecurity.
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Candidates should have a PhD degree in Electrical Engineering, Computer Science, Earth Science, or Physics, a strong background in remote sensing, synthetic aperture radar, programming, and an interest for glaciology applications and climate change.
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Working knowledge of Business Intelligence tools: Tableau and PowerBI. Experience with other Big Data tools such as Spark, Snowflake, and Kafka Experience creating and using APIs Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 3+ years experience in Data Engineering role.
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The Data Science Team within Asset Management Technology, Quant Research and Development, is seeking a highly motivated and technically proficient data scientist who is passionate about applying advanced technologies in investment management domain.
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Understanding of machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively. Bachelor’s degree in computer science, statistics, engineering, or a related field.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Applied Mathematics, Machine Learning, Data Science, Computer Information Systems, Engineering, or related studies may be considered.
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Information Technology, Computer Science, Computer Engineering, Management Information Systems (MIS) from an accredited college or university, other disciplines considered.
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Proactively engage in both internal and external learning opportunities across data engineering, machine learning, and AI. Use those learnings to influence infrastructure/cloud, data engineering, and data science practices across the organization.
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