Data Scientist (Machine Learning)

Data plays a central role at Schweizerische Post when it comes to improving processes, making more informed decisions, and developing data-based solutions for our business partners. Do you want to help shape this development and not only design machine learning solutions, but also implement them in a robust, traceable, and production-oriented manner? With you, we will successfully bring machine learning solutions into practice!

What you can achieve

• You develop data- and model-based solutions for concrete business challenges in the environment of our mobility services.
• In doing so, you work with diverse datasets, modern cloud technologies, and a team that combines data science, data engineering, and business understanding.
• You independently carry out data analyses and develop machine learning models for concrete technical questions – from exploratory analysis to productive use.
• Together with an interdisciplinary team, you drive the data-driven further development of our products and services.
• You build reproducible training, evaluation, and deployment pipelines, thereby driving the step from individual analyses and prototypes towards sustainably operated ML solutions.
• You work closely with data engineers and business stakeholders, assess technical feasibility and model quality, and communicate the results understandably to different stakeholder groups.

What you bring with you

• You bring several years of experience in data science and machine learning and have not only developed models but also evaluated and deployed them in production.
• A university degree (university or university of applied sciences) in data science, computer science, mathematics, statistics, or a comparable field forms the basis for this role.
• You have sound knowledge of ML engineering and MLOps practices, such as experiment tracking, model versioning, CI/CD for ML, reproducible pipelines, and automated tests.
• You use cloud technologies in the AWS environment such as SageMaker, S3, Lambda, or Bedrock, as well as machine learning frameworks and tools such as Python, scikit-learn, TensorFlow, or PyTorch, confidently and purposefully.
• You value clean, traceable, and maintainable code and bring basics in software engineering (versioning, testing, code reviews).
• Confident German and good English skills for collaboration with your team colleagues in Lisbon round off your profile.

Due to the team composition, we especially look forward to applications from women.