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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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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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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Import/export data between Petra and SMT projects. Essential Job Responsibilities: Create input data, update and maintain Petra and SMT projects. Populate and manipulate data in Excel and Access, importing formation tops, perfs, pressure and production data into PETRA software.
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Lead Data Governance Initiatives: Drive initiatives related to Master Data Management, Data Security, Data Quality, Data Retention, and Data Definitions and cataloging.
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The position will involve collecting, processing, analyzing and interpreting a variety of hydrographic data including multibeam sonar, single beam survey tasks. · Collection and processing of multibeam and single beam hydrographic survey data.
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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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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Assisting the Head of Sustainability and ESG Task Force to execute against the Sustainability strategy with data gathering/analysis & PMO (project management) support o Gather, format, and model global data to support regulatory requirements (e.g., Scope 3 data from various LivaNova systems / stakeholders and formatted per EPA assumptions.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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Understanding of CADworx in the context of preparing 3D facility model, P&IDs, ISOs, Site/plot plan, plan and section drawings, general arrangements, BOMs and provide training to other CAD staff Understanding of how to integrate GIS data in CAD drawings to ensure all drawings are created using the latest approved project data from GIS. Basic ability in using ESRI ArcGIS Pro to review, compile, query, and export data for use in CAD drawings.
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Net, D365, PowerApps, PowerBI, Power Automate Full BI Stack (SSIS, SSAS, SSRS) Top requirements: ERP data conversion, implementation, interface designing, mapping and deployment Familiarity with SAP ERP including data conversion will be plus Hands-on experience delivering Dynamics portfolio including: D365 Finance, D365 Project Operations Attach, D365 Project Operations Sub, D365 Supply Chain Management, and D365 Team Members.
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Predictive Preventative Maintenance (PPM) data in Computerized Maintenance Management System maintenance information systems (e.g. CMMS, SAP) Lead the migration of Client Inspections and Data from Capstone into APM GE, 4.4.
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data job in Houston, DC, Canada
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