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You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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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.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Develop, deploy, evaluate, and improve machine learning data analytics based on supervised and unsupervised machine learning flows for efficient device model generation and data mining.
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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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Do you have significant experience overseeing operations in a high-performance data center, along with a thorough understanding of blockchain and cryptocurrency mining technology? Working at a state-of-the-art cryptocurrency mining data center, you will oversee all operations, ensuring efficiency, peak performance, and security.
Starting at $10,000 - $12,000 a year (bonuses)ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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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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Sets up and operates machine on trial run to verify accuracy of machine settings or programmed control data. Have 3+ years CNC Lathe and/or Mill (4th axis machine) experience Fanuc control.
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Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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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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Strong foundation in machine learning, statistics, and data analysis, with practical experience developing and deploying machine learning models. Our client, a leading oil and gas company, is looking for a Machine Learning Engineer to join their team.
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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.
$97,500 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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In this role, you will provide technical assistance and apply skills related to project management, engineering design, slope stability, field investigations, construction quality assurance, and permitting, for solid waste infrastructure and aggregate mining projects and systems in both the public and private sectors.
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For data Science/Machine learning. Currently, we are looking for Junior Data Scientist (Remote) Preferred skills: NLP, Text mining, Tableau, Power BI, Time series analysis.
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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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machine data mining jobs Title: engineer data analyst in Houston, TX
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