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The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Must have 4 years of postbaccalaureate experience as a Software Engineer, Developer, Data Analyst or a closely related IT role. 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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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning 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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Analyze survey reports, maps, drawings, blueprints, aerial photography, or other photographical or geologic data; Perform field exploration and prepare boring log plates that include soil descriptions and relevant engineering data.
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NET Core ASP.NET, MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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Work with the ETRM and Reporting & Analytics team to organize credit data and develop credit reporting. Be a change agent for data-driven commercial decisions and analytics across the enterprise, collaborating with teams across AES.
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Lead the enterprise data strategy, execution and maintenance of our data platforms, reporting & analytics capabilities, data science & automation capabilities, as well as drive the broader data governance mandates.
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Lead the migration of Client Inspections and Data from Capstone into APM GE, 4.4. Predictive Preventative Maintenance (PPM) data in Computerized Maintenance Management System maintenance information systems (e.g. CMMS, SAP.
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CloudHire Solutions enables enterprises in their digital transformation journey by offering Consulting and Implementation Services related to Data Analytics and Enterprise Performance Management (EPM.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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We are seeking an experienced Python Developer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, you will work closely with business domain experts and data engineers to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Projects may include Identity and Access Management (IAM), Multi-Factor Authentication (MFA), Microsoft Cloud Security, Azure ATP/AIP/MDI reporting, Privileged Access Management (PAM), Data Loss Prevention (DLP) and Data Encryption/Protection, cloud storage, and collaboration platforms.
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The Sr. Back Office Analyst will be responsible for a variety of activities related to physical and financial natural gas trading, including settlement of natural gas commodity invoices, natural gas pipeline and exchange statements, payment processing, reconciliations, trade confirmations, and reconciliation of data to ETRM system.
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End to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R etc. Research, recommend, develop, train functional groups on reporting, data discovery, data science solutions.
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big data jobs Title: lead software engineer in Houston, Phenix-city, Alabama
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