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Position: Data Scientist Location: Remote Duration: 3 months ("Possible Extension") Responsibilities: Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. Analyzing customer data to identify patterns and trends that are associated with churn. Evaluating the performance of predictive, time series, regression, churn models, and Neural networks and implementing improvements as needed. Collaborating with cross-functional teams to integrate data insights into business operations. Providing data-driven recommendations to decision-makers on how to reduce churn. Communicating findings and recommendations to stakeholders through presentations, reports, and other forms of communication. Skills: Should have in-depth knowledge of using AWS sage maker in building, deploying, and maintaining ML models. Should be proficient in SQL and Python. Experience with AWS services like s3, redshift, and cloud-based infrastructure. Should have expert knowledge in building and maintaining predictive and churn models.