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 advanced knowledge and experience and participates in/leads the development of new solutions/projects. Shares best practice and advice to the co-workers in the professional area. Not only generates own workload but outlines directions to others. Can supervise and coordinate lower-level specialists being single point of contact in complex matters.
Coordinates the daily operations, enables and oversees the implementation of short to medium term activities within the team. Delivers input to policies, processes and standards, where decisions are of tactical and operational nature within a defined scope. Manages a mixed team of Specialist and Support jobs., with full employee lifecycle responsibility.
Job Classification
Industry: BPM / BPOFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time