Data Scientist

Listen to our business stakeholders and their challenges and propose data-driven solutions to problems using ML models and advanced statistical methods. For example…

Work side-by-side with business units to gather requirements, collaborate with cross-functional teams, iterate on the process of data research, and deliver to production.

Own ML models full lifecycle and monitor existing models, while continuously improving our automation pipeline from a DS perspective.

Rapidly prototype new ideas (e.g., custom RAG-based solutions, Agentic processes, knowledge graphs) based on applied research or academic concepts, and if successful, productionize.

Be a primary contributor for the semantic engine component of the organizational brain platform and be able to serve as a technical authority in…

Look for improvement and innovation opportunities with business impact, and be a source of high-quality ideas.