Requires a Masters Degree, in Computer Science or Data Analytics and one 1 year of experience in the job offered or one 1 year of experience designing and implementing processes and layouts for complex, large scale data sets used for modeling, data mining, and research purposes; gathering, analyzing, and interpreting a wide variety of data to identify causal relationships, trigger points and to make predictions on customer behavior; building predictive models using data, testing the model on results outside of the sample size and verifying the model; utilize machine learning and AI techniques to build models that support decision making; developing reports, charts, tables, and other visual aids in support of findings; utilizing Python, SQL, R, bash scripting, Big Data processing frameworks, Hadoop, Spark, Jira, Hive and MapReduce, and have understanding of MLOps; working with Azure and AWS; and understanding of regression modeling, forecasting techniques, time series analysis and machine learning concepts.br br Employer will accept any suitable combination of education, training, or experience.
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