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Preferred qualification participating in large-scale online machine learning platforms are preferred Good programming skills and a deep understanding of data structures and algorithms Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems Experience in anomaly detection area is a plus.
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Support National Security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, and machine learning. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization. Experience in a data analytics, open-source tools, cloud computing, machine learning and data visualization.
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We are seeking a highly skilled and motivated Senior Applied Machine Learning Engineer for our Federal Delivery team who is passionate about delivering value to US Federal Government clients with Generative AI. If you have experience harnessing data to deliver mission impact at enterprise scale, enjoy working with alongside product teams to iteratively improve capabilities, and thrive in client-facing technical environments, we would love to hear from you.
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5+ years of experience performing data science and analytics, such as: data wrangling, data visualization, statistical analysis, predictive analysis, and machine learning.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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The Senior Scientist role will be a key member of the Discovery team, responsible for leading and collaborating on machine learning-based protein design initiatives in the development of new cell therapies.
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NLM’s cutting-edge research and training programs (with a focus on artificial intelligence (AI), machine learning, computational biology, and biomedical informatics and health data standards) help catalyze basic biomedical science, data-driven discovery, and health care delivery.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Contribute to interdisciplinary solutions that combine data engineering and Artificial Intelligence/Machine Learning to integrate predictive models. A successful candidate should be able to demonstrate technical proficiency with these mentioned Machine Learning tools and have a proven track record engineering software solutions to process and analyze unstructured data sets.
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Machine Learning Engineer, Senior. Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances? You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
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Stay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.
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4+ years of experience working in data science, machine learning engineering, or data research, in a professional or academic environment. 2+ years of experience with developing machine learning models, including supervised, unsupervised, or reinforcement learning.
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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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machine learning jobs Title: sr data scientist Company: Verizon in Silver Spring, MD
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