Retail Jobs in Porto, Portugal (Now Hiring) — 92 open — Page 2

Metyis is growing! We are looking for a Data Science Associate to join our Data and Analytics team in our Digital Campus in Porto.

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

• Opportunity to accelerate the pace of digitalization through advanced technology, business intelligence, and analytics.

• Driving high-impact insights enhancing decision making across the entire organization.

• Interaction with senior business leaders on regular basis to drive their business towards impactful change.

• Become part of a fast-growing international and diverse team.

What you will do

• Conduct advanced data analysis focused on Operations, Finance and Supply Chain (specific for our team).

• Translate business problems into analytical solutions, from requirement gathering to model deployment and monitoring.

• Build, deploy, and maintain machine learning models (e.g. Churn, CLV, Segmentation, Personalization) using modern MLOps frameworks (e.g. MLflow, Git).

• Leverage Databricks, Azure, or similar cloud infrastructure for scalable data processing and model deployment.

• Use Python, PySpark, and common ML libraries (e.g. scikit-learn, XGBoost, LightGBM, etc.) for data transformation, model development, and evaluation.

• Apply statistical methods (e.g. hypothesis testing, A/B testing, confidence intervals) to validate performance and drive actionable insights.

• Communicate findings and recommendations clearly through compelling storytelling and visualizations.

• Collaborate with cross-functional stakeholders (e.g. Business teams, Data Engineering, IT teams) and contribute to customer-centric strategies.

• Support team development through knowledge sharing, collaboration, and participation in agile working models.

What you will bring

• 3–5 years of experience in data science or advanced analytics, ideally in retail or e-commerce.

• A master's degree in a quantitative field such as Data Science, Applied Mathematics, Computer Science, or Engineering.

• Proven ability to manage the full lifecycle of an ML solution; business understanding, data wrangling, and modelling, to production deployment and monitoring.

• Hands-on experience with MLflow, Git, and MLOps frameworks.

• Solid programming skills in Python, including libraries like pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark.

• Experience with Azure (preferred) or AWS, especially in the context of Databricks, data pipelines, and model hosting.

• Good understanding of data warehousing and querying using SQL.

• Familiarity with statistical concepts (e.g. experiment design, hypothesis testing, p-values).

• Experience or strong interest in Generative AI applications, such as LLM-based solutions, prompt engineering, RAG pipelines, or AI-assisted analytics is a plus.

• Exposure to Reinforcement Learning concepts is a plus, especially in areas like decision optimization, personalization, or next-best-action use cases.

• Strong communication and stakeholder management skills, including the ability to present technical insights to non-technical audiences.

• Fluency in English (written and spoken).

• Experience within the retail and fashion industry (nice to have).

• Experience within international environments, consultancy, or a start-up environment (nice to have).

We are united by our differences

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

Recruitment Disclaimer

Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.