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Areas of high interest include but are not limited to AI, machine learning, systems, computer vision, high-performance computing, human-centered computing, network science, and algorithms with a particular focus on applications in health (e.g., computational biomedicine, biomedical data science and imaging, disease modeling, and simulation.
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Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). We are seeking a highly skilled and experienced Senior Data Scientist with over 12 years of proven expertise in data analysis, machine learning, and statistical modeling.
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Recommended coursework: cloud computing,compilers, database systems, distributed systems, functional PL, machine learning, networking. Learning about cutting edge database technology and research.
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Most importantly, this company is looking for seniority and some level of experience with Artificial Intelligence or Machine Learning concepts. Combined with excellent opportunities for internal growth and a great work-life balance, this fully remote position is an awesome role for someone looking to take a meaningful step in forward in their career.
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Backgrounds such as Cybersecurity, SIGINT, hybrid-cloud, machine learning (ML), artificial intelligence (AI), integrated network architecture, information technology infrastructure and hybrid-communications all have a place in the spectrum of implementations ranging from commercial/government off-the-shelf solutions to the development of new and unique technologies.
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Experience with risk and risk control compliance Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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The Senior Data Scientist develops and implements data-driven solutions focused on the use of, machine learning, predictive analytics, computer simulation, operations research and data science to optimize care delivery and program efficiency.
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