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We are seeking an experienced Senior Data Scientist to solve high-impact, data-intensive problems in the Oil & Gas sector, with a strong focus on logistics, supply chain, and ETA prediction. This role is idóneo for an applied data scientist with a strong foundation in statistics, Python, and advanced SQL, and hands‑on experience building and deploying regression and time-series models in production .4–5+ years of experience as a Data Scientist working with production ML systems .Proven experience solving regression and time-series problems (ETA prediction, forecasting, logistics, supply chain).Strong understanding of:Time-series forecastingValidation methodologies (temporal splits, train/test separation)Deep knowledge of data leakage and how to prevent it.Advanced proficiency in Python for data science and machine learning.Strong expertise in SQL, including advanced feature engineering on large datasets.Solid grounding in statistics, probability, and applied mathematics .Ability to translate complex technical results into clear business insights .Strong communication skills with both technical and non‑technical stakeholders.ResponsibilitiesDesign, train, and optimize regression and time-series models for ETA prediction, forecasting, and logistics optimization.Engineer advanced temporal features such as lags, rolling windows, seasonality,



and trend signals.Apply rigorous validation strategies and select models using appropriate statistical metrics.Prevent and detect data leakage across all modeling stages.Write advanced SQL queries to extract, transform, and engineer features at scale.Monitor models in production, identifying performance degradation, data drift, and concept drift.Design and implement model retraining strategies (scheduled or on-demand).Collaborate with engineering teams to deploy models via APIs, batch jobs, or real‑time pipelines.Contribute to building end‑to‑end ML pipelines, from data ingestion to monitoring.Communicate findings, assumptions, and trade‑offs to stakeholders clearly and effectively.Nice to HaveExperience in logistics, mobility, supply chain, or operations‑heavy environments.Familiarity with cloud‑based ML deployments (batch or real‑time).Exposure to MLOps practices (monitoring, retraining, pipeline automation).Experience in complex, regulated, or asset‑intensive industries.Remote work flexibility.BenefitsPrepaid Medical Insurance: Supporting your health and well‑being.Rewards Program: Redeem points for technology, restaurants, and more.Learning Academy: Continuous professional development opportunities.Long‑term engagement opportunity with stability and impact.In compliance with our personal data protection policies, the information you provide will be processed in accordance with the Privacy Notice available on our website under "Privacy Notice for Personal Data Processing – Candidates".#J-18808-Ljbffr

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

📌 Senior Data Scientist - Machine Learning (Bogotá)
🏢 Gft Technologies
📍 Bogotá