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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 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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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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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data 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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The Vocational Rehabilitation Specialist performs evaluation, vocational counseling and allied rehabilitation services for the full range of cases; provides and/or arranges for testing, medical treatment, training, job placement and adjustment; and performs other related duties as assigned.
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The primary purpose of the Associate Data Scientist is to work as a computational scientist in the laboratory of Dr Kunal Rai, in Genomic Medicine Department at The University of Texas MD Anderson Cancer Center, Houston, Texas.
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The job function of a Java Spark Databricks AWS Data Engineer involves working with data engineering technologies and platforms to design, develop, and maintain data solutions on the AWS cloud platform.
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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and medical image analysis. The primary purpose of the Data Scientist position is to design, implement and maintain the process of building automated image interpretation tools and the extraction of tumor measurements to fulfill the TMI objective.
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Establishes and maintains best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
$158,960 - $286,130 a yearRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Assist with testing and data validation activities involving PwC, DSC, RJW, Celigo, and Orderful. Proven ability to manage testing and data validation processes with multiple stakeholders, including PwC, DSC, RJW, Celigo, and Orderful.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
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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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Analyze data and insights to increase sales, grow customer business, and better achieve objectives. Able to analyze and understand data and information. Southern Glazer's Wine & Spirits is North America's preeminent wine and spirits distributor, as well as a family-owned, privately held company with a 50+ year legacy of success.
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Assesses and integrates external macroeconomic, geopolitical, and market data sources (e.g., IHS, IEA, EIA, Rystad, Kimberlite, Spears, Enverus, etc.) Well versed with key market and industry drivers such as commodity prices, macroeconomic data/indicators, geopolitical environments, activities of major operators, competitive/competitor intelligence, material and operational costs, emerging technologies and operating models, as well as broader energy transition themes and strategies.
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Must have knowledge in Global Positioning Systems (GPS) survey methods, electronic data collection, the processes and computer programs necessary for survey data review and transfer to mapping.
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big data jobs Title: big data Company: Optello in Houston, TX
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