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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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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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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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Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
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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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The data scientist will contribute to biosensor data analysis and help guide future biosensing R&D. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
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Master’s Degree in Data Science, Statistics, Econometrics, Mathematics, Engineering, Finance, Physics, or related discipline is preferred. 5+ years of experience with various databases, data historians, and data query tools, such as OSISoft, ESRI, MSSQL, Oracle, MySQL, etc.
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Vantage is currently seeking high-quality Chemical Engineering, Chemistry, Biochemistry, Data Science Business Majors, and related majors with more than 1 year of experience in roles related to continuous Improvement (CI) Engineer, Production Engineer, Process Engineer, and Data Analyst.
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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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A Master's or Ph. D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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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.
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3-5 years of related work experience in the field of data engineering, marketing analytics, data science, and technology consultative environments Excellent client-facing, communication, and writing skills.
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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.
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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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Masters degree or equivalent practical experience in Computer Science, Biomedical Engineering, Data science, or related technical field. PhD degree, enrollment in PhD program, or equivalent experience in Computer Science, Biomedical Engineering, Data Science, or related technical field.
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data science processing engineering jobs in Staten Island, NY
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