Data Scientist

Jobtailor; Bogotá; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Descripción de la vacante

Jobtailor seeks a Data Science professional to own end-to-end model development for pricing, demand forecasting, and elasticity estimation. Productionizing in Azure ML and Databricks, you will implement prescriptive analytics and maintain feature stores with robust monitoring.

You will design experiments, apply interpretability tools, and translate findings into actionable business insights for Revenue Management partners. Strong communication to executives is essential.

Formación

• 2–4 years of hands-on Data Science delivering production-grade ML solutions.
• Proficiency in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; PyTorch/TensorFlow a plus.
• Strong understanding of experimental design, statistical testing, and causal inference basics.
• Ability to translate technical concepts into actionable business insights and communicate with stakeholders.
• Experience communicating insights, assumptions, risks, and trade-offs in executive-ready narratives.

Responsabilidades

• Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize in Azure ML and Databricks.
• Implement prescriptive analytics via optimization approaches (LP, MILP) or reinforcement learning.
• Design and maintain feature stores, model monitoring, and drift checks with MLflow.
• Design and run A/B tests or quasi-experiments to measure revenue impact and PCP attach rate.
• Use SHAP/LIME and other interpretability tools to explain model drivers to Revenue Management partners.

Conocimientos

Data science

Python

MLflow

Spark/Delta

SQL

Azure ML

Databricks

Experiment design

Causal inference

Communication

Educación

Herramientas

MLflow

Spark/Delta

Azure ML

Databricks

Descripción del empleo

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