Data Science Analyst II

Data Science work includes:
Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)
Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights
At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics
Positions on this level have comprehensive knowledge of the specific discipline or the broader area in which the position operates. Executes specialized projects and activities and typically works according to set principles. Usually generates and initiates own workload and doesn''t need instructions or guidelines. Might supervise work of less experienced professionals providing professional expertise and taking responsibility for the end-product. Positions at this level are expected to significantly improve the day-to-day activities/processes.

Manages and oversees the implementation of short-term activities within the team. Decisions are of an operational nature within a defined scope. Positions on this level delivers their share of professional responsibilities focusing on professional excellence. Typically manages a team of Individual Contributor co-workers.