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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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Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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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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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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Bachelors degree in Data Analytics/Data Science, Engineering, Computer Science, Information Technology, or commensurate degree required. Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering preferred.
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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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Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science. A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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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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These services include technology strategic planning, web site development, graphic design, disaster recovery, systems development, network administration, audio/visual services, business process re-engineering, change management, program management, security administration, service desk, computer operations, telecommunications, and document management.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field.
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Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred. Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team.
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EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Position SummaryThe Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
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MINIMUM REQUIREMENTS: Bachelor's degree in Computer Science, Engineering, Mathematics, Business, Accounting, Finance or a related field and 5 years of progressive, post-baccalaureate work experience in a customer-facing role in a large consulting firm and/or in the industry.
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engineering computer science data management jobs Company: Bloomberg in New York, Sherwood, Oregon
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