1. Correlate customer general API usage with their business activity across multiple sources (API, EDI, Wordship, Host / manifest etc.) or lack thereof. 2. Define API usage types 3. Hands-on experience in API patterns and segmentation (machine learning) 4. Evaluate data for current monetization plan for several APIS 5. Demonstrate how to systemically / easily vet which tier a customer should be assigned to any additional monetization recommendations 6. Experience in Interpretive API Dashboards / Reports 7. Design and develop data application using selected tool and framework which will support Google Big Query, Data Machine Learning and data analytics 8. Good experience in Machine Learning and modeling with strong background and hands on using Python, R 9. Gather and process the raw data at scale with good knowledge of data process with good experience in database architecture and design which will facilitate optimized ETL process to Big Query 10. Good knowledge in cloud identity - directory sync - IAM policy and roles Job Type: Full-time Pay: $100,335.47 - $120,339.49 per year Benefits: 401(k) Dental insurance Health insurance Vision insurance Schedule: 8 hour shift Weekend availability Ability to commute/relocate: Atlanta, GA 30303: Reliably commute or planning to relocate before starting work (Required) Experience: SQL: 1 year (Preferred) Work Location: Hybrid remote in Atlanta, GA 30303