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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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We are currently looking for an IT Manager, Data Engineering professional to join our growing team. Work closely with cross functional team in IT and business analytics partner to ensure the expectation are met and acting as a strong liaison between business and data engineering to resolve issues.
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Coordinates with business, IT teams, and Technology Risk Management (TRM) to remediate compliance findings in a timely manner while addressing risk reduction objectives. Deep understanding of the technical architecture of IT systems built using Windows, UNIX, Linux, Solaris, VMware, Citrix, Oracle, and MySQL platforms.
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Currently enrolled in a degree or certificate program related to one of the following areas: Data Science, IT, Data Analytics, Data Engineering, Business, Computer Science, or Manufacturing Supply Chain.
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Demonstrated knowledge of CMDB and ITIL concepts, particularly Service Asset and Configuration Management (SACM), Common Services Data Model (CSDM), and IT Operations Management (ITOM) and IT Asset Management (ITAM.
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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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HOW YOU'LL STAND OUT: Junior or Senior class standing at a college or university working towards a Bachelor’s degree in Information Systems, Computer Science, Management Information Systems, Business Administration, Mathematics, Computer Engineering, Cognitive Science, or Engineering.
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Minimum of associate of science degree in healthcare informatics but prefer a bachelor of science degree in healthcare informatics or healthcare management. Required ability to work with all Microsoft applications: Word, Excel, PowerPoint, Outlook Required experience working with Metriq cancer Database, knowledge of NCDB data reporting, CoC standards, NAPBC standards, It requiresa good understanding of tumor registry theory, medical terminology, medical coding, ICD-03, anatomy, and physiology, as well as the ability to work under pressure and manage time well to meet assignment deadlines.
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MIS: Management Sciences, Decision Sciences, Information Sciences, Product Management, Project Management, Program Management, Portfolio Management, Human Communications, Strategic PlanningAnalytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization, etc.
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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Master's degree in relevant field such as Operations Research, Data Science, Applied Mathematics/Statistics, Business Management or Human Resources Management CAN BE substituted for 4 years' experience.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use cases.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Anodizing Manager will maintain accurate records of processes and production data, preparing reports for management review. Anodizing Manager Background Profile:Bachelor's degree in Engineering, Chemistry, Materials Science, or related field preferred.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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science it data management jobs Title: communications in Castle-rock, Colorado
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