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Expertise in Databricks, Apache Spark, and big data technologies. Implement data security, governance, and compliance measures within Databricks using Unity Catalog. Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.
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7+ years of experience successfully establishing effective data governance/management in a large, complex organization with expertise in data governance for big data space with knowledge of various MDM/entity resolution solutions.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. 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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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI.
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Essential SkillsBachelor's / Master’s or degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Contract Duration: 5 Months Required Skills & Experience Bachelor's Degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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The employer will alternatively accept a PhD in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics, or related field of study plus 3 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation.
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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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You will also lead the development and collection of requirements and support the development of the data ETL processes to support the new product, using tools such as GIS, Python, SQL, etc. This team is skilled in advanced data analytics, scripting, and development, and collaborates closely with the security response and threat management teams to safeguard our national energy services from potential cyber disruptions.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Extensive experience in data sciences, research computing, computer science, or related computational or basic sciences research fields. Experience in managing research computational and data science needs to develop, create, and sustain the UCSC research information ecosystem for the next decade.
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Working with a faculty adviser, the postdoctoral fellow will conduct specialized research in one or more areas of Atmospheric Science , including atmospheric chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources; global biogeochemical cycles and ecosystems; and radiation and remote sensing.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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big data governance science computer jobs Company: Insight Global
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