Data Science Analyst

Metyis; Porto; Presencial; EUR 50 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Digitalization acceleration

Senior leadership exposure

International & diverse team

Resumo da oferta

Metyis is seeking a data scientist in Porto to translate business problems into analytical solutions and deploy ML models using modern tools. You will work with Databricks, Azure, or similar cloud infra and apply Python, PySpark, and ML libraries for data transformation and evaluation.

The role emphasizes collaboration with cross-functional teams, strong communication, and a 0–3 year experience profile in a fast-growing, international setting.

Qualificações

• Master's degree in a quantitative field (Data Science, Applied Mathematics, CS or Engineering).
• 0–3 years of experience in data science or advanced analytics.
• Proven ability to manage lifecycle from data wrangling to production deployment.

Responsabilidades

• Translate business problems into analytical solutions from requirements to deployment and monitoring.
• Build, deploy, and maintain ML models (e.g., churn, CLV, segmentation, personalization).
• Leverage Databricks, Azure, or similar cloud infra for scalable data processing and model hosting.
• Use Python, PySpark, and ML libraries to transform data and build models.
• Apply statistical methods to validate performance and derive actionable insights.
• Communicate findings clearly with storytelling and visualizations.
• Collaborate with cross-functional teams and support agile work methods.

Conhecimentos

Python

PySpark

MLflow

Git

Databricks

Azure/AWS

SQL

Statistics

Communication

English fluency

Formação académica

Master's degree in Data Science / Applied Mathematics / Computer Science / Engineering

Ferramentas

MLflow

Git

MLOps

Databricks

Azure

AWS

Descrição da oferta de emprego

Who we are

Metyis is 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.

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 a 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) 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

• 0–3 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).

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.