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Experience: You have Ph. D. (or MS with 4+ years of post-MS experience) in one of the following areas: Remote Sensing, Image Processing, Computer Vision, Data Science. You will follow data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Azure App Insights, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps Knowledge of Data Product Hygiene and be able to champion this in your work.
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BJCs patients have access to the latest advances in medical science and technology through a formal affiliation between Barnes-Jewish Hospital and St. Louis Childrens Hospital with the renowned Washington University School of Medicine, which consistently ranks among the top medical schools in the country.
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Working knowledge of Collibra Data Integration Catalog, Data Market Place, Data Quality tools, BigID and Informatica MDM, RDM, and DQ, and Collibra Ranger certification is highly desirable.
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Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions. Hands on experience working on data science frameworks such as TensorFlow, PyTorch, and Spark ML.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Utilize 3D modeling and data visualization software to update airframe 3D models and complete data processing on fleet maintenance findings. Locate hotspot structural locations using in-service fleet maintenance data and provide technical reports to customers.
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If you have been studying bioinformatics or computer science and have an interest in analysis of high-throughput plant science data, we would like you to consider this opportunity.
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Well versed in general administrative and computer skills; experience with CRMs and fund development software such as Raiser’s Edge, Tessitura, or Altru, particularly related to data entry, a plus.
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The GED Instructor establishes the best possible learning situation for refugee/immigrant clients in a multilevel classroom of adult learners in Science, Math, Language Arts and Social Studies.
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Provides technical and acquisition experience in rapid execution of Hyper-Spectral Imagery (HSI) and Light Detection and Ranging (LiDAR) tactical data projects with a focus on interoperability, testing, tactical data ingest, processing, exploitation/analysis, storage, dissemination and associated infrastructures tactical data integration activities.
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An understanding of refrigeration design with ammonia, freon, CO2, dehumidification, and other custom plumbing systems for manufacturing facilities in the food, beverage, consumer goods and life science sectors (preferred.
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data science jobs Company: Cigna in St Louis, CT, Canada
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