Data Science Analyst at Metyis AG

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

This Full time on site position offers great opportunities for career growth.

Metyis is growing! We are looking for a Data Science Analyst with 0-3 years of experience to join our Data and Analytics team in our Digital Campus in Porto.

Who we are

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients. Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services. This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

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

• 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.

What you will bring

• Up to 3 years of experience in data science or advanced analytics.
• 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, consultancies, 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.