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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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OR- Graduate degree related to computer science, geography, GIS, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and three (3) years of work experience in geospatial analysis and programming.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree in Computer Science, Electrical Engineering, Computational Linguistics, or a related field. Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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Master`s Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field. Bachelor's Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. - AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc.
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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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Use 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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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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computer science data natural processing jobs Company: Harnham in Niles, Illinois
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