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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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Machine Learning Engineers at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more.
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Key Responsibilities: We are seeking a Chief Data Technology Officer (CDTO) to join the ITS VPU. This role is responsible for providing technical strategy, leadership, and oversight of technology for data, information, knowledge, artificial intelligence (AI), and machine learning (ML) assets as well as technical solutions across the organization to enable the WBG to scale capabilities needed to achieve our mission of creating a world free of poverty on a livable planet.
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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.
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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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Proficient in Databricks unified data analytics platform, and able to use its collaborative notebooks, integrated APIs, and optimized clusters for data engineering and machine learning.
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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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This role will have opportunity to work across Amgens pipeline (early and late) to oversee the development of data review visualization tool, statistical/machine learning algorithms, and analytic pipeline/package/application in R. It provides opportunity to develop leadership skills in clinical development strategy and address scientific questions through practical quantitative thinking.
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Experience with projects using Machine Learning, statistical methods, and natural language processing. Minimum of 4 years' documented experience applying statistical analysis and data mining to apply, learn, and improved understanding of data.
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Draw on deep technical knowledge and subject matter expertise to advise clients in multiple areas, including clinical psychology, psychiatry, neuroscience, and psychometrics, with an eye toward applications, such as digital mental health, psychological wellbeing, and predictive analytics and machine learning for personalized medicine and prevention.
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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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Stewards, in partnership with the Office of Surface Mining Reclamation and Enforcement (OSMRE), seeks a Research Analyst to play an important role in assisting OSMRE’s Office for Equal Opportunity (OEO) to collect, analyze, and interpret data to determine primary Limited English Proficiency (LEP) populations located in areas where major coal mining industries are prevalent, in addition to other responsibilities.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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machine learning data mining jobs Title: analytics manager in Washington, Sherwood, Oregon
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