Senior Data Scientist

Tasks

• Collaboration with business partners in the development of new approaches to achieving goals using state-of-the-art techniques and tools (including AI models, generative AI and/or applied statistics)
• Efficient communication of the analytical approach and of how the goals can be achieved through presentations, reports, or similar formats
• Advocacy and education about the value of data-driven decision-making, with a focus on the "how and why" of problem-solving---e.g., demonstrating the value using revenue KPIs or cost savings
• Leading analytical approaches and integrating the work into applications and tools together with data engineers, executives, analysts, and developers
• Creation of repeatable, interpretable, dynamic, and scalable analytical models that are seamlessly integrated into analytical data products (from data interfaces to fully integrated web front ends, for example)
• Development of functions to find new ways to combine different internal and external data sources
• Identification and development of long-term processes, frameworks, tools, methods, and standards