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Data Scientist Job Summary
We are seeking a highly skilled Data Scientist with deep expertise in forecast modeling, time‑series analytics, and demand planning to support data‑driven decision making in a large, complex operational environment. This role focuses on developing, validating, and scaling forecasting models that drive demand prediction, capacity planning, labor optimization, and overall operational efficiency.
The adecuado candidate combines strong statistical foundations with practical experience translating forecasts into actionable business insights across cross‑functional teams.
Key Responsibilities
Develop, deploy, and maintain forecasting models for demand, sales, and operational metrics using statistical, machine learning, and AI‑based approaches.
Apply advanced techniques such as hierarchical forecasting,



seasonality decomposition, promotion and event modeling, and scenario analysis.
Design and evaluate forecast accuracy metrics, bias monitoring, and model performance diagnostics to identify trends, anomalies, and structural changes impacting forecast performance.
Support downstream optimization and simulation use cases by providing robust forecast inputs and uncertainty estimates.
Partner with operations and planning teams to translate forecasts into capacity, labor, and resource planning insights.
Collaborate closely with engineering, operations, product, and business stakeholders to understand forecasting requirements and constraints.

Qualifications
Educational Background
Master’s degree or Ph.D. in Data Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field.

Core Technical Skills
Expert‑level knowledge of forecasting and time‑series method

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1b0a7l

📌 Data Scientist (Colombia)
🏢 Importante empresa
📍 Colombia