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Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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High proficiency)Previous experience in Data Governance Implementation as a functional lead or functional project manager (High proficiency)Deep knowledge of Master Data Management, Data Security, Data Quality, Data Retention policies, and Data Definitions and cataloging.
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Incorporating highly integrated data governance processes that consistently tracking data provenance, security, data quality and ontology as well as through to data visualization and insights.
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Familiarity with cloud architecture (Azure, Entra ID), shared responsibility models, data loss prevention (DLP), and cloud security best practices (DevSecOps, Secure SDLC, etc. Expertise in security concepts like cryptography, identity and access management, logging and monitoring, network/endpoint vulnerability scanning and remediation, pen testing, and data discovery / protection.
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Will work closely with leaders in implementing the overall EIM strategy for the Business Intelligence and Advance Analytics processes around data asset definitions, master data management, data governance policies, data productization and hybrid data platform technologies for the enterprise to enable the full realization of data as a strategic company asset.
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Lead participant in regional data analysis, management forums led by other non-profit collaboratives and convenors (i.e. United Way MVC data governance committee) Work in partnership with Executive Leadership (IT, Procurement, Programs, Compliance & Quality Assurance departments) to strengthen our data infrastructure and integrity through setting data strategy plans, governance policies, supporting education efforts across the agency.
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Configure and program automation devices, such as programmable logic controllers (PLCs), real time automation controllers (RTAC), human-machine interfaces (HMIs), and supervisory control and data acquisition (SCADA) systems.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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We seek a highly skilled and experienced Senior Data Scientist specializing in Machine Learning (Client) and Artificial Intelligence (AI) to join our team. You will lead complex data analysis projects, develop advanced machine learning models, and provide strategic insights that contribute to our business growth and innovation.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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Who You Are (Basic Qualifications)Experience with Data Governance, Master Data Management, and Enterprise Data Quality platforms. Experience with Data Catalog tools such as Alation, Atlan or AtaccamaExperience with Data Governance and Enterprise Data Quality tools and platforms such as SAP MDG, TIBCO EBX.Experience implementing enterprise-wide Data Governance tools and programs.
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Engages comprehensively in legal tasks and matters including but not limited to: litigation, regulatory/compliance, labor & employment, immigration, corporate governance, mergers & acquisitions, intellectual property, privacy, and cybersecurity.
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The Sr Research Data Scientist position will leverage information in HM enterprise data warehouse and designated electronic medical record as well as adhere to data definition standards set by the Research and Hospital Data Governance committees.
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This a division level analyst position, developing and conducting historian user training, training operators in plant optimization, developing and training operators on the use of trends and dashboards, and developing new applications including iOT, machine learning and artificial intelligence applications.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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modern data governance machine jobs Company: Wex in Houston, TX
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