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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. 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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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Ability to be trained and be efficient at data capture and analysis exercises using internal dashboards and various enterprise systems (e.g., INCEPTIoN, Radian Digital, SAP/SAC, Coupa, Procore.
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Join our dynamic team as a Project Engineer (TVAC Systems) and become a vital contributor to support NASA as an Oceaneering Teammate on the JSC Engineering, Technology, and Science (JETS) II contract.
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REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES Knowledge of dental science such as oral anatomy, oral physiology and histology, the principles and technique of four handed dentistry, periodontics, and dental materials.
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Bachelor's degree in Animal Science, Food Science or Biological Science from four-year college or university. Demonstrate the ability to define problems, collect data, establish facts, and draw valid conclusions.
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Skilled in laser scanning, point cloud data management, brownfield 3D modelling, and data integration (preferably in AVEVA tools/technologies) Should have significant hands-on experience in using AVEVA E3D modelling and other relevant tools for laser scanning, 3D modelling, data integration, and digital twins.
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5-10 years meat and/or seafood industry (as appropriate) FSQA Management experience at a federal CFIA/FDA meat and/or seafood processing plant (as appropriate) acceptable instead of a degree. SQF Practitioner or equivalent GFSI scheme experience, Meat and/or Seafood HACCP Certified (as appropriate.
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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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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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Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365. 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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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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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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Education: Bachelor of Science in Occupational Health and Safety, Environmental Science, Chemistry, Biology, Physics, Engineering, or related field. Audits campus for assigned safety areas, including laboratory safety, chemical safety, radiation safety, biological safety, use of controlled substances, laser and X-ray machine safety, Hazardous waste material, EPA Compliance and trades shop safety.
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data science jobs Title: machine learning engineer Company: Danaher Corporation in Houston, TX
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