Automation Technologies LLC
data science
Automation Technologies LLC, New York, New York, us, 10261
Job Responsibilities
Cleansing of large unstructured data and enabling analytical capability in order to query the data and address various business needs.Use unstructured and disjointed data sets for the purpose of independently generating actionable business insights as well as creating manageable analytical processes within the Data and Analytics group.Build econometric and statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations, and so forth.Predictive statistical models, segmentation analysis, customer profiling, analysis, survey design, and data mining.Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings.Perform ad-hoc data mining and exploratory statistical tasks on very large data sets related to the business strategies.Prepare reports and presentations for senior data scientists and relevant stakeholders that will give insights for departmental as well as business-wide decision making.Experiment with various technologies and tools with the vision of creating innovative data-driven insights for the business at the quickest pace possible.Take initiative in evaluating and adapting new and improved data analytics approaches for the business, working with senior management for approval.
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Cleansing of large unstructured data and enabling analytical capability in order to query the data and address various business needs.Use unstructured and disjointed data sets for the purpose of independently generating actionable business insights as well as creating manageable analytical processes within the Data and Analytics group.Build econometric and statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations, and so forth.Predictive statistical models, segmentation analysis, customer profiling, analysis, survey design, and data mining.Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings.Perform ad-hoc data mining and exploratory statistical tasks on very large data sets related to the business strategies.Prepare reports and presentations for senior data scientists and relevant stakeholders that will give insights for departmental as well as business-wide decision making.Experiment with various technologies and tools with the vision of creating innovative data-driven insights for the business at the quickest pace possible.Take initiative in evaluating and adapting new and improved data analytics approaches for the business, working with senior management for approval.
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