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3+ years of experience with advanced machine learning techniques, such as generalized linear models, tree-based models, clustering, natural language processing, and deep learning. Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Conducts complex and detailed quantitative statistical analyses, using statistical analysis software such as SAS, to evaluate the strengths and weaknesses of programs and service delivery.
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Experience in Natural Language Processing (NLP) Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
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Play an active role in building new data analysis tools such as AI and Natural Language Processing. Advanced business acumen with command over analytics, specifically leveraging data to drive operational improvements, including drawing accurate conclusions from raw data and providing suggestions to address gaps, including simulation & statistical modeling.
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Demonstrated research or applied science experience in Natural Language Processing, Computer Vision, Multimodal analysis, Deep Learning, Machine Learning, or a related field. Familiarity with open-source tools such as PyTorch, as well as experience with statistical analysis and data visualization tools.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing. The Scientist will perform web scraping and apply various techniques for processing unstructured data.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. Experience in the full cycle of human computation research, including the rater-facing UI designs, human rater quality control, and statistical analysis of the data collection results.
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The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others.
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Experience in a statistical programming language (e.g., R or Python) and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks.
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2 large projects related to Client & Natural language processing (NLP)1+ yrs of model deployment, model packaging and model lifecycle management experience as part of BYOM framework.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Understanding of data preparation, machine learning, deep learning, and natural language processing. Statistical modeling, machine learning and optimization as a data scientist or team leader.
$155,400 - $213,700 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with natural language generation (NLG), natural language processing (NLP), computer vision, or other specialized areas of machine learning. 6 to 8 years of relevant experience, with 4+ years of professional experience in data science, with strong foundation in statistical analysis, machine learning, and data visualization.
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Defines advanced analytics, M/L and AI project objectives, collaborates with the business for requirement, defines metrics and measures of effectiveness, and expected outcomes; identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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