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Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience.
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Apply new technologies and methods in data science, data engineering, and data visualization to improve the technical capabilities of the team.
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VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Leveraging a blend of software, hardware, and data science, Kelvin offers a cost-effective solution that aligns economic, practical, and environmental goals, recognized by many awards from the MIT Clean Energy Prize to the Popular Science Innovation Award and more.
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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
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The Strategic Services team at Optimove offers customer-centric, data-driven marketing programs, expert marketing strategy consulting, analytics & data science as a service, and CRM outsourcing, customized to each client's specific objectives and engagement goals.
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2+ years of experience in developing analytics solutions in a cloud environment using modern data science tools such as AWS, Azure, or GCP. The anlayst will also be responsible for using the spectrum of data science fields of study, including descriptive, diagnostic, and predictive analytics, to address the biggest challenges facing each market.
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Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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Candidates should have expertise and research in renewable energy, condensed matter physics and its applications, electronics, nanoscience and nanoengineering technology, optics and photonics, biophysics, bioengineering and technology, biosensors, novel instrumentation methods, quantum information science and technology, engineering physics of complex light-matter interactions, plasma physics, and/or materials physics and engineering.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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data science jobs Title: school science in Jersey City, NJ
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