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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing. 3+ years of experience with data science, machine learning, cloud engineering, data analytics, or data research.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Specialized experience is defined as identifying data required for use in the management and direction of programs; Implementing algorithms, machine learning, and other AI systems; Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation; Applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods.
$78,592 - $122,459 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We span functions of Artificial Intelligence and Machine Learning (AI / ML), Scientific and Technical Advisory subject matter expertise (SETA) within R&D, and the diversity of functions within Program management and strategy.
$74,500 - $130,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Team Description The Compliance Risk Management Analytics and Innovation team builds the machine learning models that contribute to the organization’s regulatory compliance and risk management program.
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The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. 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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Stay up-to-date with the latest industry trends and best practices in Java, Python, and machine learning. Over 5 years of experience with a strong experience working with Python and machine learning technologies.
$58 - $63ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications:Qualifications:Minimum of 5 years of experience in data analysis/science and modeling, with a focus on machine learning and/or predictive analytics. Data analysis and modeling, including: Designing and developing machine learning and predictive models and algorithms.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
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Proven experience as a Data Scientist, with a strong background in statistical analysis, machine learning, and predictive modeling. Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence, and proactively suggest innovative approaches to enhance the ADVANA program's data analytics capabilities.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. Experience with using programming languages to manipulate and analyze data, including Python and SQL.Experience with machine learning, data cleansing, and statistical analysis.
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Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
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I. DEPARTMENT INFORMATION Job Description Summary: The George Washington University Milken Institute School of Public Health is seeking a Bioinformatics Analyst II. The skilled and collaborative candidate will study microbial genomics in a public health context and have the opportunity to:(i) analyze large omics datasets from clinical and epidemiologic studies(ii) develop of machine learning and computational discovery methods for public health research.
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