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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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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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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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MSc Engineering (e.g. Electrical, Computer Science, Systems, Software, Aerospace, Physics, Mechanical, Automotive, Management) 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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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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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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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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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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Preferably a master's degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field. Ideate and develop indicators of insider risks and appropriate mitigation strategies leveraging multiple transaction data sources across insider risk domains.
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Bachelors of Science in Civil Engineering from an ABET accredited university/program. KMA has statewide capabilities in Highway, Structural, Geotechnical, Pavement, Hydraulics/Hydrology, Construction Engineering, as well as Utility Investigations, Photogrammetric Mapping, Surveying, Traffic Control Services, Traffic Data Collection and Analysis, and Environmental Services.
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To do so, you will have full access to the CB Insights software platform and its billions of data points, which you will be immersed in every day. What you bring to the table: 3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. The Data Science & AI team with Commercial Analytics & AI (CAAI) organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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data science software engineering artificial intelligence jobs Title: head of engineering in New York
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