Data Science Associate (Fashion)

Metyis AG; Porto; Presencial; EUR 48 000 - 75 000; Tempo integral

Resumo da oferta

Metyis is growing and seeks a Data Science Associate to join the Data and Analytics team in Porto. You will translate business problems into analytical solutions, build and deploy ML models, and leverage cloud platforms to scale data processing.

The role requires collaboration with cross‑functional teams and a strong foundation in Python, PySpark, and ML tooling. You will work in a fast‑growing, international environment, with opportunities to drive impactful change across Operations, Finance

Qualificações

• 3–5 years of experience in data science or advanced analytics, preferably 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 from problem framing to production deployment and monitoring.
• Hands-on experience with MLflow, Git, and MLOps frameworks.
• Strong programming skills in Python, with libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark.
• Experience with Azure or AWS, especially with Databricks, data pipelines, and model hosting.
• Good understanding of data warehousing and SQL querying.
• Familiarity with statistical concepts (experiment design, hypothesis testing, p-values).
• Experience or strong interest in Generative AI applications is a plus.
• Exposure to Reinforcement Learning concepts is a plus.

Responsabilidades

• Conduct advanced data analysis focused on Operations, Finance and Supply Chain.
• Translate business problems into analytical solutions from requirement gathering to deployment and monitoring.
• Build, deploy, and maintain ML models (e.g., churn, CLV, segmentation, personalization) using modern MLOps frameworks.

Formação académica

Master's degree in Data Science, Applied Mathematics, Computer Science, or Engineering

Ferramentas

MLflow

Git

Databricks

Azure

Python

PySpark

SQL

Descrição da oferta de emprego

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).

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.