Data Scientists have a blend of skills that make them unique. Mathematicians by nature, they are persistent problem solvers, skilled collaborators and excellent communicators. Data Scientists use feature engineering to prepare data for machine learning and also apply Artificial Intelligence to improve business performance.
Business Analysts align data with goals. They use appropriate data management practices to help facilitate better speed, accuracy, quality, automation, integration, model deployment and management.
A Solutions Advisor is a domain expert who bridges the gap between data science and the needs of a business, acting as a visionary and a technical lead.
A Machine Learning Engineer is expert in running tests and experiments for ML/AI models and implements top performing algorithms to score data.