| Hartford, Connecticut at Hartford, New York, USA |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=4173&uid= From: umamahesh, HCL Global System [email protected] Reply to: [email protected] Job Title: Sr Data Scientist Location: Hartford, Connecticut. Note: Data Scientist SO that comes with specialty in imization and Game Theory. looking for talented Data Scientists who have experience building data-based solutions powered by the advancement of Machine Learning algorithms and Deep Learning networks. As a Data Scientist (Stars Business Intelligence, Medicare) you will play a critical role in developing analytical capabilities to improve and imize member experience. Responsibilities: As a Data Scientist you: Should have the ability to communicate data insights to all organizational levels, concluding, defining recommended actions, and reporting results across stakeholders. Should work on integrating data from different data sources. Should be working on pre-processing large datasets to build machine learning models, automating, deploying, and maintaining them into production. Should be able to understand how the deployed models run correctly. Should develop, test, and deploy data structures using Entity-Relationship Diagramming, and data modeling tools. Requirements: 5+ years of experience in data science specialization, including statistical data analysis. Expertise in Linear/integration imization, simulation, and game theory. Must be an expert and specialized in imization and game theory. Deep understanding of common database technologies, such as SQL Database/Server, SQL Data Warehouse, Oracle, DB2, Netezza, MySQL, and other data sources. Experience working with distributed computing tools (Hadoop, Hive, Spark, etc.) Experience with Tableau is a plus. Experience with large scale data mining tools such as Spark Advanced understanding of best practices for structuring and organizing Data Lake file systems for large volumes of data. Experience performing advanced data pipelines, data structure and modeling, data processing, data extraction, joining, manipulation cleaning, analysis, and presentation for medium to large datasets. Experience developing models for forecasting, classification, clustering, regression analysis, recommendations, variable selections, and natural language processing. Strong grasp of experimental design, A/B testing, and advanced statistical analysis Experience leading end-to-end data science project implementation including training, testing, and deploying machine learning models in production environments. http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=4173&uid= |
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| 02:19 AM 13-Oct-22 |