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

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📌 Data Scientist (Bogotá)
🏢 Jobtailor
📍 Bogotá