Data Science Analyst I

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 are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes.

Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.