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Technical degree i.e. BE / B.Tech / M.Tech / MCA / M.Sc. in Computer Science / Management Information Systems / Engineering / Math / Physics / Chemistry or proven professional and technical experience.
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3-5 years of health care data interpretation, analysis, and reporting experience required, Clinical background with EHR experience (eClinicalWorks), Pharmacy point of sale systems, and/or population health management systems preferred.
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Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, and advanced manufacturing.
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Experience with data science, machine learning, and/or artificial intelligence. Advanced degree (Master's or PhD) in Computer Science, Electrical/Computer Engineering, or similar field.
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If you are passionate about technology and are looking to accelerate your career while building innovative products, consider a future as a Systems Developer on CARFAX’s Data Technology team.
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Bachelor's Degree or equivalent in Environmental Science, Civil/Environmental Engineering, Geomorphology, or related field. Proficiency using GIS, including experience with geodatabases, collecting/importing/manipulating data, creating mapping, and using related field equipment.
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Demonstrated understanding of engineering principles associated with energy efficiency and renewable energy technologies such as boilers, chillers, building automation systems, HVAC systems, building envelope, PV solar, battery energy storage systems, cogeneration, microgrids, power systems, and water/steam distribution systems.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As a Senior Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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This role will lead our data engineering team reporting to the VP Technology. Projects range from data integrations with enterprise systems (e.g. Netsuite, HRIS) to building big data solutions to host predictive modeling.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. For data Science/Machine learning Positions.
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The Sr. Information Systems Security Manager (Sr. ISSM) will serve as a Subject Matter Expert and provide daily oversight and direction to ISSO's, while also performing day-to-day and provide guidance & support to the Information System Security Officer (ISSO) community.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Expertise with standard laboratory techniques, wet chemistry tests, titration, spectroscopy, HPLC, GC, and modern Data Acquisition Systems required with an ability to perform non-standard or complicated analyses with minimal supervision and guidance.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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College degree in agriculture, civil or environmental management/engineering; geology, geography, soil science, natural resource management or a related field is required. Communicate and interpret information from regulatory reports and technical data with Regional President, Regional Vice-President and Division Presidents.
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