Porto Data Science Analyst — ML & Analytics

Metyis AG; Porto; Presencial; EUR 32 000 - 52 000; Tempo integral

Resumo da oferta

Metyis is seeking a Data Science Analyst to join the Data and Analytics team in our Digital Campus in Porto. The role covers translating business problems into analytical solutions, building and deploying ML models, and using Databricks, Azure, and Python-based tools to drive scalable data processing.

We value hands-on experience with MLflow, Git, and MLOps, strong Python skills, and fluency in English. 0–3 years of experience and a master’s in a quantitative field are preferred.

Qualificações

• Up to 3 years of experience in data science or advanced analytics.
• 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.
• Strong 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, consultancies, or a start-up environment (nice to have).

Responsabilidades

• 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 derive 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.

Conhecimentos

Python

PySpark

MLflow

Git

Pandas

NumPy

scikit-learn

LightGBM

XGBoost

SQL

Azure

Databricks

Formação académica

Master's degree in Data Science or related field

Ferramentas

Databricks

Azure

SQL

Descrição da oferta de emprego

Metyis is seeking a Data Science Analyst to join the Data and Analytics team in our Digital Campus in Porto. The role covers translating business problems into analytical solutions, building and deploying ML models, and using Databricks, Azure, and Python-based tools to drive scalable data processing.

We value hands-on experience with MLflow, Git, and MLOps, strong Python skills, and fluency in English. 0–3 years of experience and a master’s in a quantitative field are preferred.