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Master's degree in relevant field such as Operations Research, Data Science, Applied Mathematics/Statistics, Business Management or Human Resources Management CAN BE substituted for 4 years experience.
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Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics. Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) 3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala.
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Bachelor's or Master's degree with 5+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field. As a Senior Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
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Skilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing. Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization.
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The Principal NLP Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Machine Learning Engineer II page is loaded. Experience with machine learning frameworks such as TensorFlow. Work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML.
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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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Electrical engineering, electronic, electronic engineering, informatic, machine learning, matlab, python. Doctorate in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Amida is currently looking for a Data Scientist 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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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Engineering, Information Systems, Information Technology, Internet of Things, Quantum, Applied Math, Data Sciences, Decision Science, Machine Learning, or other technology majors.
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machine learning applied mathematics hands on jobs Company: Birlasoft in Arlington, VA
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