Senior Data Scientist
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Data Scientist to join our diversified multinational group, consolidating data from multiple business areas-retail, financial services, telecom, and digital platforms-to build data-driven products and services. This role is based in Porto or Braga, Portugal, with a hybrid work model.
Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- MLOps
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Feature Engineering
- Statistics
- Experience in the retail sector
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.
About the Company
At KWAN, we connect IT professionals with projects that match their skills, professional experience, and goals. We offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.
What You Can Expect as a KWANer
- Respect isn’t optional here: You’re trusted to deliver and supported to speak up.
- Dedicated People Experience Partner: Someone accountable for your growth, not your allocation.
- Continuous learning, built in: Learning that keeps pace with the systems you build.
- Recognition that’s visible: Your impact doesn’t go unnoticed. Through our Rocket Points System, we constantly recognize your contributions.
- A culture you can feel: From movie and quiz nights to dinners and our annual summer gathering, we don’t just work together - we build real connections.
- Flexible spaces to work your way: Remote-first, with physical hubs when you want connection.
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