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Database Administrator IV. Join Our Team as a Database Engineer for the Lab of Ornithology at Cornell University! The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale participatory science supporting birds and biodiversity conservation.
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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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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Work closely with the engineering system engineer to ensure that the JEDII Systems supports all engineering data products as they are developed and integrated and will support a full lifecycle solution both at JSC and in future efforts with other centers.
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Database systems (SQL Server) Implement, integrate, and deploy an enterprise management system with emphasis on engineering data information infrastructure that consists of design models and all associated engineering documentation.
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That Data Scientist provides analysis and develops and maintains software tools for clinical and scientific problems in the Bioinformatics and Computational Biology department. The Data Scientist will also assist clinicians in using the software and collaborate in developing, maintaining, and enhancing the underlying statistical models.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. The incumbent will lead and help to develop a newly formed data-scientist team in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation.
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Preferred - Certified as a Medical Technologist, Clinical Laboratory Scientist, Medical Laboratory Scientist, or categorical certification by Board of Certification (ASCP) Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification.
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Use Data Engineering skill sets to build infrastructure for cloud-based database utilizing third party tools and custom software. Use Data Engineering skill sets to build infrastructure for cloud-based database utilizing third party tools and custom software.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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This role is for a Senior Data Scientist on L.E.K.'s rapidly growing Data & Analytics team. Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Certified as a Clinical Laboratory Scientist by National Credentialing Agency for Laboratory Personnel (NCA) The Medical Laboratory Scientist also ensures that specimens are accessioned and processed expeditiously in order to deliver quality laboratory results in an effective and cost-efficient manner.
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PhD in quantitative scientific field: Mathematics, Computer Science, Data Science, Biomedical Engineering, Medical Physics, Physics, or Electrical Engineering. Background in algorithm development and implementation, medical image processing, image processing with artificial intelligence, X-ray physics, Computational Photography, and software development.
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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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Job Title Generative AI Data Scientist. common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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database administrator data scientist jobs in Houston, TX
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