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Education: High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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A master's degree in computer science from an accredited college or university and three years of progressively more responsible, full-time, satisfactory experience in Information Technology (IT) including applications development, systems development, data communications and networking, database administration, data processing, or user services.
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We are responsible for the end-to-end data science life cycle, right from ideation to developing Proof of concepts (PoC) and finally building and maintaining production data science and applications/products/featuresThis role is a unique opportunity to drive business value for multiple stakeholders and the ideal candidate must have deep design and hands-on development expertise in Statistics, ML, NLP, LLMs, model development and integrating ML solutions with business.
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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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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Maintains and retrieves patient data by appropriate use of PACS and other information systems; generates hard copies when appropriate. Under the direction of a Radiologist, MRI Technologist II performs a wide variety of technical procedures utilizing magnetic resonance imaging to obtain computer-processed images of designated portions of the body.
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Bachelor's degree in a related field (e.g., Information Systems, Business Administration, Data Science). The ideal candidate will have a strong background in research administration, management of information systems, excellent analytical skills, the ability to communicate complex data insights clearly, and a strong commitment to collaboration.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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Process AI & Automation Developer (Manager) (Multiple Positions) (1509604), Ernst & Young LLP, New York, NY. Analyze business and data processing problems to implement and improve computer systems using robotics technology.
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On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadershipWe'd love to find someone who is.
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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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VP, Data Science RWE | Top 5 Pharma. PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.
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Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
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4+ years of data analytics in the field of Business Intelligence or Information Management. Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
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data science computer information systems jobs Title: business analyst in Jersey City, NJ
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