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Process and analyze data collected from photogrammetry and LiDAR sensors. SEnergy is seeking a full-time Unmanned Aerial System (UAS) Pilot to join our dynamic team. The successful candidate will be responsible for field work involving remote sensor data capture (including photogrammetry, LiDAR, etc.
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Gigs open to anybody looking for temporary, work from home, part-time or full-time work. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.
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The Houston city center including attractions such as the George R. Brown Convention Center and NRG Stadium is located 15 minutes' drive from this hotel. + Fulfill all Front Office functions between the hours of 11:00 p.m. and 7:00 a.m.+ Follow up to ensure periodic checks by the Midnight House Attendant are made of building and guest corridors to ensure all areas are locked and secured (property specific)+ Handle and follow through on all guest requests daily from 11:00 p.m. until 7:00 a.m.+ Follow safety and emergency procedures according to Aimbridge Hospitality standards.
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Develop methodologies for data development, analysis and modeling from remote sensing and geospatial data, including land cover classification, vegetation analysis, hydrology, and urban planning applications.
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As a Customer Service Representative, you will work as part of a supportive team to be the face of U-Haul company’s exceptional service and ensuring that customers get all the help they need on their journeys by inspecting and maintaining equipment.
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This position will be located in Houston, TX. The Ops Data Analyst will provide data business solutions, operational support, and analysis across business units and functional teams within Oxy as part of the Onshore data management organization.
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The Lead Technical BI Analyst will work with customers from clinical, administrative and/or operational areas across the System to provide analytical tools that drive insights, complex data extracts and data integration, reports and/or advanced dashboard visualizations to facilitate discovery of insights, new opportunities, support data-informed decision-making for identified challenges as well as develop new and enhance existing metrics to analyze ongoing performance metrics.
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PayPal will handle any currency conversions from USD. If you are applying from any country outside of the US, Canada, the UK, Ireland, Australia, or New Zealand and sign up, please note that you will NOT receive a link as we are NOT taking applicants outside of those countries at this time.
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Job Details: Multiple openings available, with a focus on Early Childhood/Pre-K Manageable caseloads of 55 students Full-time position, 40 hours per week Contract from August 1st to the end of the school year Special Requirements: Must hold a valid TX SLP State License Why Join Us.
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This is a paid temporary position with full-time hours, including some weekends, and holiday travel/work. This Trainee will be able to work as part of a team and collaborate with various internal divisions, client partners/ vendors, and consumers.
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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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The ideal candidate will have strong commercial transactional experience in an international environment ideally in the oil and gas and/or in energy businesses , a familiarity with compliance matters (including anti-corruption, data privacy and antitrust), a willingness to learn other legal disciplines impacting our activities, excellent people & time management skills, and pragmatic business judgment.
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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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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. 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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You will be a part of the Global Information Security team and report to the Chief Information Security Officer responsible for protecting the confidentiality, integrity, and availability of Beckman-Coulter information assets.
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from flexible data temporary part time jobs Title: call agent in Houston, TX
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