Core Responsibilities

Act as a technical reference in the development of data solutions, including Machine Learning and advanced statistics. Lead end-to-end data projects from conception to production implementation. Ensure best practices in analytical engineering, MLOps, and model governance. Translate business problems into analytical hypotheses and robust solutions.

Requirements

Bachelor's degree in Computer Science, Statistics, Engineering, or related fields. Proficiency in Python (or R) and data/ML libraries. Experience with the end-to-end model lifecycle (exploration, training, validation, and deployment). Solid experience in developing Machine Learning models and data analysis.

Additional Information

Experience Level

Senior

Employment Type

permanent

Work Mode

Remote