Senior AI/ML Scientist — Pricing & Forecasting Lead

Capgemini Engineering; Bogotá; Presencial; COP 90.000.000 - 170.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stable Employment

Learning & Development

Language Training

Health Coverage

Insurance Protection

Wellness Perks

Special Occasion benefits

Descripción de la vacante

Capgemini Engineering is seeking a Senior Data Scientist to lead cross-functional AI/ML initiatives and drive enterprise-wide AI strategy. You will own end-to-end model development for pricing, demand forecasting, and elasticity estimation, productionizing in Azure ML and Databricks, while implementing prescriptive analytics and maintaining feature stores.

You will work on SHAP/LIME explainability, A/B testing, and communicating insights to Revenue Management partners.

Formación

• 2–4 years hands-on Data Science experience delivering production-grade ML solutions.
• Proficiency in Python and ML toolkits (scikit-learn, XGBoost) with 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 and to align stakeholders.

Responsabilidades

• Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks.
• Implement prescriptive analytics using optimization methods (LP, MILP) or reinforcement learning.
• Maintain feature stores, model monitoring, and drift checks with MLflow.

Conocimientos

Python

scikit-learn

XGBoost

Spark/Delta

SQL

Azure ML

Databricks

MLflow

PyTorch

TensorFlow

Descripción del empleo

Capgemini Engineering is seeking a Senior Data Scientist to lead cross-functional AI/ML initiatives and drive enterprise-wide AI strategy. You will own end-to-end model development for pricing, demand forecasting, and elasticity estimation, productionizing in Azure ML and Databricks, while implementing prescriptive analytics and maintaining feature stores.

You will work on SHAP/LIME explainability, A/B testing, and communicating insights to Revenue Management partners.