Responsibilities Owning end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionizing models in Azure ML and Databricks Implementing prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning Implementing and maintaining feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage) Designing and executing A/B tests or quasi-experiments to measure revenue, pricing uplift,



and PCP attach rate impact Applying SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners Requirements 2–4 years of hands‐on Data Science experience delivering production‐grade ML solutions Proficiency in Python (scikit‐learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus Strong understanding of experimental design, statistical testing, and causal inference basics Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross‐functional communication Experience communicating insights, assumptions, risks, and trade‐offs in clear, concise, and executive‐ready narratives #J-*****-Ljbffr

📌 Data Scientist (Bogotá)
🏢 Jobtailor
📍 Bogotá