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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark.
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Applied mathematics ( e.g. probability and statistics, formal modeling, computational social sciences) Computer programming ( e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing) Visualization ( e.g. GIS/geospatial analysis, telemetry analysis.
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Master’s degree in Computational Biology, Bioinformatics, Applied Mathematics, Computer Science, Electrical Engineering, or other quantitative field preferred. The ideal candidate would have a Masters or above in a quantitative field (computer science, applied mathematics, bioinformatics) as well as knowledge of modern molecular biology and genomics.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Information Technology, Financial Services, Consulting, Software Development, Cloud Computing, Computer Software, Information Technology and Services, Management Consulting, Defense & Space, Computer Services.
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Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering. Experience with cloud computing platforms such as AWS, Azure, and GCP. Experience with containerized solutions such as Docker a plus.
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With 3+ years in applied machine learning, you are proficient in algorithms like Collaborative Filtering, Deep Neural Networks, and others, and in programming languages such as Python or Java.
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Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering. Master's or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
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Grainger Applied Machine Learning spans across Recommender Systems, Generative AI, Optimization and Simulation, NLP, and other Machine Learning / Deep Learning-based applications.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. 1-2 years of work experience with Azure, AWS, Google Cloud, or other cloud computing platforms.
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0-2 years in the field of Quantum Physics, Applied Mathematics, or Applied Computer Science. Research focuses on testing and evaluating emerging quantum hardware, investigations of quantum mechanisms that may be used to provide a quantum advantage, development of new algorithms and software for quantum computing, and application of quantum computing to a range of real-world problems involving planning and scheduling, machine learning, and fault diagnostics.
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As a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Energy Sciences, Biosciences, Physical Sciences, Computing Sciences, Nanotechnology, Supercomputing, Big Data, Energy Innovation, Science, Climate Change, exascale, computing, environmental science, materials science, Artificial Intelligence, AI, Machine Learning, Climate, Supercomputing, and Basic Science.
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computer science deep learning applied cloud computing jobs Title: applied researcher in Niles, Illinois
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