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This work will be performed in close collaboration with pediatric neurologist and epileptologist clinician researchers and faculty at NCH.The candidate should be able to leverage both structured and unstructured data sets to create analytical solutions using tools and/or methods in at least one of the following areas: statistical and predictive modeling, machine learning, natural language processing, and geospatial analysis.
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Experience and solid understanding of Natural Language Processing (NLP) methods and techniques. Familiarity with Natural Language Processing (NLP) methods and techniques.
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Many areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, IoT are highly relevant to our research.
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Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms.
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Strong background in natural language processing, LLM, machine learning, and statistical modeling. Develop and validate cutting-edge NLP algorithms, including large language models tailored for healthcare and bio-pharma use cases.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis.
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Support National Security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, and machine learning. 1+ years of relevant professional experience in data science / analytics (e.g., data wrangling, data visualization, statistical analysis, predictive analysis, and machine learning.
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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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Expert-level knowledge of statistical methods and ML methods and patterns, including statistical analysis, natural language processing, deep learning, predictive modeling, time-series analysis, experimental design, and outcome optimization.
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In this role, you will collaborate with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as statistical analysis and/or machine learning, natural language processing, predictive modelling, and advanced data visualization.
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Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.
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Relevant skills include statistical analysis and open-ended data mining (social network analysis will be particularly helpful); applied machine learning including Natural Language Processing; quantitative content analysis; qualitative discourse analysis; survey research; and archival research.
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Experience with Machine Learning fields (e.g., natural language processing, computer vision, statistical modelling) leveraging advanced data services to drive tangible results.
$146,200 - $284,300 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Minimum educational qualification is a PhD or equivalent in fields including but not limited to environmental science, communication science, sociology, history of science, data science, and computer science.
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