Data Scientist (Products & AI) | Sonae Data

To join our Sonae Data Team at the Holding Office, we are currently looking for a:

Data Scientist

(Products & AI)

Sonae Data is a brand-new unit within the Sonae group, bringing together data from across the group’s diverse businesses—think supermarkets, electronics, financial services, telecom, shopping centers, and digital platforms. The goal? To turn this data into valuable products and services, first for the group’s own companies, and later for the broader digital and AI-driven market.

We’re looking for a Data Scientist to help bring this vision to life. In this role, you’ll develop advanced analytics and machine learning models that turn data into meaningful insights and predictive solutions. Working closely with business stakeholders and data engineers, you’ll explore complex datasets, identify trends and opportunities, and design algorithms that drive smarter, data-informed decisions across the organization.

Core Responsibilities:

• Analyze and interpret large, complex datasets to generate actionable business insights;

• Build, deploy, and monitor machine learning models that support strategic initiatives and drive performance;

• Collaborate with engineers to ensure reliable, accessible, and well-structured data for model development;

• Translate business needs into analytical questions, and communicate results clearly to stakeholders;

• Design and implement feature engineering strategies to enhance model effectiveness;

• Develop and maintain pipelines for model training and evaluation;

• Promote best practices in MLOps/LLMOps, ensuring scalability and performance in production;

• Foster a data-first mindset across teams, encouraging statistical thinking and experimentation.

Main requirements:

• Bachelor's or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field;

• Solid experience in developing, validating, and deploying ML models end-to-end;

• Experience in feature engineering, model tuning, and lifecycle management;

• Ability to bridge the gap between business problems and data solutions with clarity and precision;

• Proficiency in Python and SQL, and familiarity with cloud-based data platforms (AWS, Azure, GCP);

• Experience managing complexity and ambiguity with autonomy;

• Strong interpersonal skills and confidence communicating with non-technical audiences;

• Curiosity, creativity, and a drive to keep learning.

Work Location:

• Hybrid work model

• Role based in Oporto (preferably)

• If based in Lisbon, regular travel to the Oporto headquarters will be required.