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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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A priority area will be the integration of multiple information systems including Epic Systems, Philips DFCI chemotherapy pathways, Co-Path LIS, Mosaic and multiple cancer registries into a cohesive data architecture that supports data science.
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5+ years as ML Engineer, AI Engineer, Data Science, Data Engineering roles, or in a combination of such roles. Key skills include data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.g., Domo, Looker, PowerBI, Qlik, Tableau, SiSense), object-oriented programming languages (Java, Python, R, Ruby, Scala, C.
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Duties would include preparing and supervising the preparation of air quality and greenhouse gas emissions inventories and modeling, health risk assessments, noise modeling and field data collection, environmental impact analysis for California Environmental Quality Act (CEQA) and National Environmental Policy Act (NEPA) documentation, energy use studies, and general report preparation activities.
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BS in Engineering / Computer Science. Apache Spark, Big Data, Big Data Solutions, Databricks Platform, Data Mining, Machine Learning, PySpark, Python (Programming Language), Structured Query Language (SQL), UiPath, AWS, SDN & Analytics,HTML, XML, CSS, C.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
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5 years of work experience in intelligence analysis, data analytics, data science, economic analysis, biostatistics, epidemiology, health economics and market access, or a related field.
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Experience with citations software, for example Endnote, and software for data and image analysis and illustrations is needed. May be asked to interpret complex data sets. The Department of Pathology at Dana-Farber Cancer Institute is seeking an experienced M.D. or Ph. D. scientist with technical expertise in diagnostic assay development and/or research pathology, as well as research administration, scientific writing, and project management.
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RN: BSN minimum requirement; Master's Degree of Science in Nursing preferred or Masters in Public Health. Risk: restraints and RLs restraint data Quality - link/abacus/analytics: HACS, Falls Skin Team and Manager L&P: prep for Skin Prevalence Day Liaison and support leader of organizational skin program overseeing the Skin, Wound and Ostomy RN PTAP: participating with educators to track data in anticipation for reporting Certifications: review of cornerstone for CPI, MCPP, CPR, Pals, Pals instructor certification.
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The skills required for this position are: Bachelor of Science in Computer Technology, 5 years minimum experience programming in a 3rd generation languages and knowledge of software design patterns FileMaker, MySQL, Operating System: Windows, Mac, Ubuntu Languages: JavaScript, PHP, CSS3, CSS, HTML5, HTML, JQuery.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Typically requires a Bachelor’s Degree in Computer Science, Information Technology, or a related field and a minimum 2 years of experience in a related role, such as ETL development or data integration.
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Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) Design, code, test and implement quantitative models, leveraging data science techniques, in machine/deep learning and NLP.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
ExpandApply NowActive JobUpdated 10 days ago
computer science data jobs Company: Brilliant Worldwide Inc in Hartford, Vienna, West Virginia
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