Lead Data Scientist – LATAM

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

📋 Description

• Design and build data pipelines that support ML training and inference workflows.

• Develop, assess, and iterate on machine learning and statistical models aimed at business solutions.

• Manage the complete model lifecycle: development, validation, deployment, and monitoring.

• Collaborate with stakeholders to translate complex business problems into functional data science solutions.

• Document work clearly enough for team members to maintain and extend it.

• Deploy models in production environments, ensuring reliability, performance, and system maintenance.

⛳️ Requirements

• Professional training in Systems Engineering, Computing, Data Science, Mathematics, Statistics, or related fields with a strong background in engineering and software development.

• Over 5 years of proven experience leading end-to-end ML projects — from raw data to production systems.

• Hands-on experience designing data architectures and ETL/ELT pipelines, with a track record of real deployments outside notebook environments.

• Advanced proficiency in Python and key ML libraries (scikit-learn, PyTorch, or TensorFlow).

• Strong fundamentals in data engineering: pipeline design, data modeling, and ETL/ELT processes.

• Proficiency in SQL.

• Experience deploying and monitoring models in production (Docker, FastAPI, cloud ML services).

• Advanced English (C1 or higher) — essential for communication with the team and stakeholders.

🏝️ Benefits

• A culture of continuous improvement that is fresh and collaborative, with opportunities for learning and support from colleagues.

• Programs like Happy Kaizen and WeSofka that focus on your physical and emotional well-being.

• KaizenHub, a program designed to enhance your talents, featuring feedback, mentoring, and coaching through Sofka U.

• Technical and personal challenges that will keep you in constant growth.