Descrição

Job Overview

TN Portugal seeks a seasoned Data Science Team Head to lead our team of experts in providing analytical services to healthcare clients. As a key member of our organization, you will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.

About Our Company
TN Portugal is a software development company dedicated to delivering high-quality, performant, scalable, clean, and tested software solutions. We strive to maintain the highest standards in the industry, and we expect our team members to do the same.

• Key Responsibilities
• As a Senior Data Scientist Lead, your primary responsibilities will include:
• Leading a Small Team: You will lead a small team of data scientists focused on solving challenging problems using tabular data with large, feature-rich datasets.
• Technical Task Planning: You will work with the Product Manager to understand business goals, set task priorities, and manage team resources effectively.
• Quality Assurance: You will lead the team through all stages of model development, from design to deployment, ensuring best practices in code quality, documentation, and reproducibility.
• Cross-Functional Collaboration: You will work closely with other teams (e.g., Machine Learning Engineers, MLOps, UI) to ensure ML models integrate smoothly with the overall system and align with other technical projects.

• Requirements
• The ideal candidate will have the following qualifications:
• Proven Experience: 5+ years in machine learning with hands-on model development experience.
• Leadership Experience: 2+ years in a technical leadership role.
• Technical Skills: Practical experience with Git, Airflow, and MLflow (or similar tools), strong Python skills with experience using popular ML libraries and tools (sklearn, CatBoost, optuna, etc).
• Cloud Experience: Experience with cloud platforms (AWS, GCP, Azure), especially their ML and data engineering services.
• SQL Skills: Advanced SQL skills and experience building/managing data pipelines with Airflow or similar tools.
• MLOps Knowledge: Understanding of MLOps practices, including CI/CD for ML.
• Language Skills: English level B2 or higher.