Senior Data Scientist

KWAN; Porto; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Hybrid work policy

Career development program

People Experience Partner

Descripción de la vacante

KWAN is seeking a Senior Data Scientist to join our team in Porto or Braga. You will analyze large, complex datasets, build and monitor ML models, and collaborate with data engineers to ensure clean, accessible data.

The ideal candidate has senior experience in data science or ML, strong Python and SQL, cloud experience (AWS/Azure/GCP), and a track record of end-to-end model lifecycle management. Hybrid work is available with 2 days on-site.

Formación

• Senior-level experience in Data Science or Machine Learning, preferably within the retail sector.
• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field.
• Proven experience designing, validating, deploying, and monitoring Machine Learning models end to end.
• Strong knowledge of feature engineering, model selection, tuning, evaluation, and lifecycle management.
• Advanced proficiency in Python and SQL.
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
• Strong ability to translate retail and business challenges into practical, data-driven solutions.
• Ability to manage complex and ambiguous problems with a high level of autonomy and ownership.
• Strong communication skills and confidence presenting technical findings to non-technical stakeholders.
• Analytical thinking, curiosity, creativity, and a continuous learning mindset.
• Hybrid: 2 days/week in the office (Porto / Braga).

Responsabilidades

• Analyze and interpret large, complex datasets to generate actionable business insights.
• Build, deploy, and monitor machine learning models that support strategic initiatives.
• Collaborate with data engineers to ensure reliable, accessible, and well-structured data for model development.
• Translate business needs into analytical questions and communicate results clearly to stakeholders.
• Design and implement feature engineering strategies to enhance model effectiveness.
• Develop and maintain pipelines for model training and evaluation.
• Promote best practices in MLOps, ensuring scalability and performance in production.

Conocimientos

Python

SQL

MLOps

Educación

Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field

Herramientas

AWS

Azure

GCP

Descripción del empleo

We are looking for a Senior Data Scientist in Porto or Braga who's eager to embark on an exciting new opportunity!

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What is this challenge about:

• Analyze and interpret large, complex datasets to generate actionable business insights.
• Build, deploy, and monitor machine learning models that support strategic initiatives.
• Collaborate with data engineers to ensure reliable, accessible, and well-structured data for model development.
• Translate business needs into analytical questions and communicate results clearly to stakeholders.
• Design and implement feature engineering strategies to enhance model effectiveness.
• Develop and maintain pipelines for model training and evaluation.
• Promote best practices in MLOps, ensuring scalability and performance in production.

What we are looking for:

• Senior-level experience in Data Science or Machine Learning, preferably within the retail sector.
• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field.
• Proven experience designing, validating, deploying, and monitoring Machine Learning models end to end.
• Strong knowledge of feature engineering, model selection, tuning, evaluation, and lifecycle management.
• Advanced proficiency in Python and SQL.
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
• Strong ability to translate retail and business challenges into practical, data-driven solutions.
• Ability to manage complex and ambiguous problems with a high level of autonomy and ownership.
• Strong communication skills and confidence presenting technical findings to non-technical stakeholders.
• Analytical thinking, curiosity, creativity, and a continuous learning mindset.
• Hybrid: 2 days/week in the office (Porto / Braga).

What we offer

• A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
• A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
• An empowering and respectful work culture enriched with social and learning events.
• A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

“At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.”