Senior Data Scientist @ Sii Polska

We are looking for an experienced and forward-thinking Senior Data Scientist to join our medical client’s team.

In this role, you will lead the development and implementation of machine learning algorithms, ensuring their seamless integration into scalable, high-performance systems. You’ll play a key role in driving data-driven decision-making and delivering robust AI solutions that align with strategic goals.

• Minimum 5 years of experience in machine learning, data modeling, and statistical analysis
• Proficient in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience with cloud-based ML development (preferably AWS)
• Familiarity with Docker, Kubernetes, and CI / CD tools like Jenkins or GitLab CI
• Strong SQL skills and experience working with large datasets and data preprocessing
• Fluency in English (spoken and written)
• Fluent Polish required
• Residing in Poland required

We are looking for an experienced and forward-thinking Senior Data Scientist to join our medical client’s team.

In this role, you will lead the development and implementation of machine learning algorithms, ensuring their seamless integration into scalable, high-performance systems. You’ll play a key role in driving data-driven decision-making and delivering robust AI solutions that align with strategic goals.

Develop and apply machine learning algorithms, Perform experiments, run tests, and assess results to enhance model precision and effectiveness, Translate data into actionable insights through advanced analytics and modeling, Collaborate with cross-functional teams to deploy and monitor ML solutions in production, Provide mentorship to junior team members and contribute to data science best practices, Support cloud engineering initiatives, particularly on AWS infrastructure] Requirements : Python, AWS, PyTorch, ML, Docker, Kubernetes, Jenkins, CI / CD, Git, NLP, LLm Additionally : Sport subscription, Training budget, Small teams, Private healthcare, International projects, Free breakfast, No dress code, Modern office, Free coffee, In-house trainings.