15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented. Demonstrated expertise in one or more of the following: Mathematical optimization (linear/integer programming, stochastic or robust optimization)Simulation modeling (discrete-event, Monte Carlo, agent-based)Reinforcement learning or contextual bandits for sequential decision-makingCausal inference/causal ML (uplift modeling, experimentation design, heterogeneous treatment effects)Price and promotion elasticity or demand modelingNLP and search (intent classification, entity extraction, semantic search).