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The group puts innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Artificial Intelligence, Data Intelligence, Web3, Metaverse, Blockchain or IoT.
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Required skills include (3 years exp in): Python or R; Tableau or PowerBI; data analytics; predictive analytics; and (2 years exp in): Machine Learning or Artificial Intelligence software development/software engineering in Azure.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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Utilize traffic engineering software and tools (e.g., Synchro, VISSIM) to support data analysis and reporting tasks. Collaborate with project managers and engineering teams to gather data, provide technical input, and ensure that traffic reports align with project objectives and regulatory requirements.
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MSc Engineering (e.g. Electrical, Computer Science, Systems, Software, Aerospace, Physics, Mechanical, Automotive, Management) Software Engineering Manager. Applied working knowledge in the domain of software engineering development and systems integration, with a proven track record of product development throughout the entire product lifecycle.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Completed PhD in neuroscience, biomedical engineering, computer science, mathematics, biophysics, neuropsychology or related fields. Particular focus will be placed on (1) the brain development and cross-species comparison between human and nonhuman primates based on both in vivo and ex vivo MRI imaging data.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department and HPI.MS are seeking outstanding candidates for early- and mid-career positions with an excellent track record in computer science, artificial intelligence, and machine learning to join its faculty.
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Experience of D&I spanning across: Data Engineering (Modern Data Platforms, Data Management & Governance, Data Integration Engineering), Data Sciences (Marketing & Sales Analytics, Artificial Intelligence, Advanced Analytics), Advanced Visualization, Business Analytics (Enterprise Data Management, Business Intelligence, Analytics at Scale), Internet of Things and Data platforms good understanding of the Oil & Gas industry.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Their groundbreaking research lies at the intersection of artificial intelligence and biotechnology, driving cutting-edge advancements aimed at transforming drug discovery, diagnostics, and healthcare.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Bachelors degree combined with 4+ years of industry experiencein algorithm execution or a Masters or Ph. D. degree in computer science, physics, math, engineering or related fields combined with 2+ years of industry experience.
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The Product Director has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data.
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data science software engineering artificial intelligence jobs Title: senior software engineer in New York
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