Cynet Systems

Create new mechanisms to monitor for quality signals using outputs from analytics, including descriptive analytics, signal detection, natural language processing, machine learning, and time-series analysis.. Data Ontology Design, Generalized Contextual Modeling, and Processing Mapping Skills Required.. Experience with developing applications for advanced AI (e.g. Generative AI), Client, NLP, or another data science specialization is required.. Experience with one or more data engineering, product management, UI/UX design, decision science, and front-end application development is required.. Proficiency in building and using business intelligence/data visualization tools such as Spotfire, Tableau, QLIK.

clinical data analyst

Job Description: Pay Range $24.20hr - $29.20hr Responsibilities: <ul><li> Align with business partners on requirements, success criteria, and strategies for communications, user testing, and deployment. </li><li> Create new mechanisms to monitor for quality signals using outputs from analytics, including descriptive analytics, signal detection, natural language processing, machine learning, and time-series analysis. </li><li> Apply analytical/statistical methods to complex and disparate data sources. </li><li> Demonstrate “Data Theory” core competencies and literacies are required. </li><li> Required “Data Theory” training is a must for ALL roles. </li> </ul> Experience and Skills: <ul><li> Data Ontology Design, Generalized Contextual Modeling, and Processing Mapping Skills Required. </li><li> Experience with developing applications for advanced AI (e.g. Generative AI), Client, NLP, or another data science specialization is required. </li><li> Experience with one or more data engineering, product management, UI/UX design, decision science, and front-end application development is required. </li><li> Experience with building data science and data engineering solutions to real-world problems and datasets required. </li><li> Proficiency in a modern data science language (Python and R), is required. </li><li> "Does it work" attitude to building data science solutions. </li><li> Agile Experience required. </li><li> High level of organization and ability to balance multiple tasks required. </li><li> Strong oral and written communication skills required. </li><li> Experience with fast-paced agile software development / DevOps / MLOps is required. </li><li> Proficiency in building and using business intelligence/data visualization tools such as Spotfire, Tableau, QLIK. </li><li> DP 203 Certification or AWS Data Engineering Certification Preferred.</li></ul>

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