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Experience using natural language processing (NLP), including large language models (LLMs), to extract insights from text data. EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
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Preferred: Currently enrolled in college courses in Digital Forensic Science, Computer Science/Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years of work experience in computer hardware, network administration, or cyber-crime investigations.
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Bachelor's or master's degree in bioinformatics, Computational Biology, Computer Science, Data Science, or a related field. Experience with data processing frameworks and tools (e.g., Apache Spark, Hadoop.
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Masters/PhD in STEM subject such as computer science, engineering, maths/statistics, physics. Build tooling used by both researchers and the trading desk for data processing, modelling and analysis.
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Process AI & Automation Developer (Manager) (Multiple Positions) (1509604), Ernst & Young LLP, New York, NY. Analyze business and data processing problems to implement and improve computer systems using robotics technology.
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Our data engineering team is also responsible for quality curation of data to ensure our products You will be joining a talented, fully remote Data Science, Engineering and Analytics team that handles a wide range of requests including customer data processing, weekly report automation, new product development and complex data integration.
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Solid modeling foundation is a plus, including hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Center 3 (19075), United States of America, McLean, Virginia Manager, Data Science - NLP At Capital One, we think big and do big things. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app.
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Bachelors with 7+ years' experience in a related social science, business, or quantitative analysis discipline (e.g., Engineering, Economics, Business, IO Psychology, Statistics, Business Analytics, or relevant fields), with a Master's degree (or equivalent in industry.
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Ph. D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team.
$248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology, computer science, management information systems, data processing, or closely related field, including or supplemented by 9 semester credits in an acceptable course of study.
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Key Responsibilities: Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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Requirements:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field from a Top-25 CS programProven experience as a Front-Office developer working on electronic trading platforms with specific exposure to SOR, DMA, Dark Pool Liquidity, and algorithmic execution.
$200,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelors or Masters in Computer Science, Business Management or comparable field of study Thorough understanding of digital and mobile payments including online payments including wallets, Buy Now Pay Later, merchant acquiring & processing highly desired.
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data science processing engineering jobs in New York, NY
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