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Expertise in applying Python and SQL to execute complex data operations, customize ETL/ELT processes, and perform advanced data transformations across the platform. Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, DBT, and AWS data services.
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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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Our IT Audit Senior Manager for Data Privacy will oversee complex-level professional internal audit work across all The Client segments with a particular focus on data privacy. IT Audit Senior Manager- Data Privacy.
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Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.
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Perform CFD simulations for aircraft aerodynamics for different aircraft configurations and subsystems Perform AI algorithms study on CFD data/wind tunnel data/flight test data to accelerate aircraft design process along with data science team.
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PhD or equivalent level degree in computer science, computer engineering or related field involving artificial intelligence, human behavior modeling, natural language processing, machine learning, multi-agent systems, deep learning, agent-based social simulation, data analytics, intelligent user interfaces, complex adaptive systems, decision support systems, learning technologies, augmented reality, virtual reality, simulation, robotics, data fusion, and/or game development.
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As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.
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The Data Manager oversees the studies to drive innovative database building, data collection, tracking and review solutions from complex, diverse sources to ensure timely delivery of high-quality data in a regulated and changing global clinical trial environment.
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Apply statistical and machine learning techniques to extract meaningful insights from complex structured and unstructured biological data(large-scale neuroimages, light and electron microscopy, animal behavior, histopathology, etc.
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Physics, Computer Science, Mathematics, Chemical Engineering, Materials Science, Mechanical Engineering, Electrical Engineering, Data Science. Minimum of 5 years of industry experience in the development of complex high-tech systems.
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Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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Understanding of Artificial Intelligence, Machine Learning, Data Science and Robotic Process Automation. The IT Audit Manager will be responsible for performing complex technology and/or business-integrated audits in support of Fidelity’s businesses.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) 5+ years of technical skills, preferably experience in manufacturing engineering roles for complex electro-mechanical product industrialization at scale, including machined, sheet metal, injection molded, PCBA, linear motors, LCD, cables, and plastic components.
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Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
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This includes proposal writing and management, data call coordination, content editing, proofreading and desktop publishing. Excellent writing, editing, and proofreading skills, with the ability to convey complex information in a clear and concise manner.
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