In this role, you won't just be building models; you’ll be the bridge between data science and business transformation. Your day-to-day will involve:
Designing & Deploying Solutions: Lead the creation of ML and AI solutions for Research & Innovation, Quality, and Sales.
Model Development: Build and validate advanced models using CatBoost, XGBoost, and Deep Learning for forecasting and recommendations.
Driving Innovation: Explore the "next big thing," from Generative AI to Reinforcement Learning, to solve complex business challenges.
Causal Inference: Design experiments and apply causal inference techniques to measure the true impact of our interventions.
Collaboration & Strategy: Partner with data engineers on scalable architectures and ensure your insights are actionable for stakeholders in Marketing, Ops, and R&I.;
Mentorship: Share your expertise by guiding junior data scientists and championing best practices in coding and model governance