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Agile Experience a plus Tooling : Excel, SQL knowledge, Tableau, other reporting tools, Experience with Data Governance Tools (Collibra DQ & Collibra Data Inteligence ) or similar desired Keywords: Data Governance, Data Modeling, Data Catalog, Data Profile, Data Quality, Data Lineage.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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6) Perform data acquisition using JSon, SQL, ODBC, JScript, or API for big data extracts and use programming languages like R, Python, SQL,.net, Java or C. Bachelors degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 8 years of related experience, of which at least 4 years of directly related data analytics, data science, predictive modeling, machine learning, statistical modeling experience OR advanced in the required fields and 4 years directly related data science, analytics experience.
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This leader will work hands on in design and implementation of business-critical data science solutions, will manage, develop, and mentor the data science team, and build and maintain strategic technological data science roadmap for APS. The successful candidate needs to have strong knowledge and experience in data science and Artificial Intelligence (AI), programming techniques and cloud technologies and excellent organizational and leadership skills.
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Preferred Requirements: A minimum of 6 years of data science/ops research experience preferably within the supply chain industry, demand planning, CPG industry and/or retail replenishment.
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Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data. Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.
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Must have 3 years of experience in at least 1 of the following:Distributed Processing (Spark, Hadoop, or EMR);Traditional RDBMS (MS SQL Server, Oracle, MySQL, or PostgreSQL);MPP (AWS Redshift, or Teradata);NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan);Cloud Platforms (AWS, Azure, Google Platform, or Databricks);Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID.
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Develop and oversee a comprehensive data architecture, aligning with business goals and integrating technologies such as Azure, Databricks, and Palantir to craft a forward-looking data management and analytics landscape.
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Medical Device endpoint protection Qualifications for success: Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering or similar (Masters Preferred) Experience with a range of machine learning techniques: linear regression, classifications, random forest, clustering, supervised and unsupervised learning, graph algorithms, etc.
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Data governance at City National Bank ("CNB") is a critical factor in the support of compliance with regulations required by the Office of the Comptroller of the Currency ("OCC") and the Federal Reserve Board ("FRB.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Identifies and develops requirements/testing of new data elements added to the Enterprise Data Warehouse in support of the Enterprise Data Governance goal of having a single source of the truth.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Bachelor's degree in Engineering, Economics/Econometrics, Artificial Science, Data Science, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline. Query/database and business intelligence tools such as Cognos, Tableau, PowerBI, SQL and data governance fundamentals.
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big data science a plus governance jobs
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