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.