At Heinsohn, we partner with clients across North America and LATAM, building innovative solutions in an agile, diverse, and multicultural environment. We are passionate about technology, continuous learning, and collaboration - and we want you to be part of this growth.

We are looking for a Data Scientist to join our team and bring expertise that will contribute to the success of high-impact international projects.

The system already has a defined architecture, production models running in BigQuery ML, and an ARIMA + XGBoost ensemble with validated results in production. Your role will start by optimizing and improving the existing setup, with a clear path toward the next layer of development: user behavior modeling, segmentation, propensity, and retention models.

Responsibilities:
- Design and execute experiments to improve forecasting metrics across specific segments
- Perform feature engineering on large-scale transactional data (~5M records in BigQuery)
- Build user behavior models, including segmentation, propensity, churn, and retention




- Evaluate models using strict temporal holdout methodologies and segment-level metrics
- Document experiments with clear reasoning — hypotheses, results, and decisions
- Collaborate with the ML Engineer responsible for maintaining the architecture and production pipelines

Requirements:
- 3+ years of hands-on experience in Machine Learning — forecasting, supervised learning on user data, or both
- Strong Python skills, including pandas, scikit-learn, XGBoost, statsmodels, and/or Prophet
- Advanced SQL skills and experience working with cloud platforms (GCP is a plus)
- Strong model evaluation judgment — you understand why random train/test splits are inappropriate for time series data
- Experience performing feature engineering from transactional datasets
- Ability to work within an existing framework and architecture without unnecessarily reinventing established solutions

Benefits:
- 100% remote work from any LATAM count

📌 Data Scientist (Bogotá)
🏢 Heinsohn Business Technology
📍 Bogotá