Data Scientist

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Taking charge of the complete model development lifecycle for pricing, demand forecasting, and elasticity estimation; deploying models in Azure ML and Databricks.

• Executing prescriptive analytics through optimization techniques, including Linear Programming, Mixed Integer Programming, or Reinforcement Learning.

• Establishing and maintaining feature stores, model monitoring systems, and drift checks utilizing MLflow (covering metrics, alerts, and lineage).

• Designing and conducting A/B tests or quasi-experiments to evaluate revenue, pricing uplift, and the impact on PCP attach rates.

• Utilizing SHAP/LIME and other model interpretability tools to elucidate the factors influencing model behavior to Revenue Management partners.

⛳️ Requirements

• 2–4 years of practical Data Science experience in delivering production-quality ML solutions.

• Expertise in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; knowledge of PyTorch or TensorFlow is advantageous.

• Strong grasp of experimental design, statistical testing, and the fundamentals of causal inference.

• Capability to convert technical concepts into actionable business insights; adept at stakeholder alignment and cross-functional communication.

• Proven experience in communicating insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready formats.

🏝️ Benefits

• Empowering environment: Autonomy and goal setting receive top ratings, with scores of 8.4+ in our monthly employee feedback Pulse.

• Dedicated innovation labs: We support the world's leading innovators in developing future products and services by utilizing our experts and labs dedicated to areas such as 5G, 6G, AI, Autonomous Vehicles, and Quantum.

• Communities: Our framework fosters career development and enhances Capgemini's capabilities across diverse domains.