JD 1. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. 2. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. 3. Assess the effectiveness and accuracy of new data sources and data gathering techniques. 4. Develop custom data models and algorithms to apply to data sets. 5. Use predictive modeling to increase and optimize revenue generation and other business outcomes. 6. Develop company A/B testing framework and test model quality. 7. Coordinate with different functional teams to implement models and monitor outcomes. 8. Develop processes and tools to monitor and analyze model performance and data accuracy.
Requirements: 1. Experience -5 years in manipulating data sets and building statistical models, and is familiar with the following software/tools: Coding knowledge and experience with several languages: Python (Preferred), Java, JavaScript, etc. 2. Experience working with AWS, Google Cloud platform or Azure 3. Experience using statistical computer languages (R, Python, SQL, etc.)