June 8
• Development of Models and Analyses to solve business problems • Data manipulation and cleaning • Automation of data processes and pipelines • Documentation and validation of models
• Python for Data Science (e.g., Pandas, Sklearn) • Knowledge of Machine Learning techniques and Statistical Modeling • Experience with Cloud environments and data storage • Advanced SQL skills • Software development best practices
• Cashback • Diverse forms of payment options • Simplified financial products
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