Lead Data Scientist (ID: 4139)
Summary
Lead Data Scientist in Amsterdam: design, build and deploy production ML models in Python, own MLOps and CI/CD pipelines for model deployment/monitoring, and mentor the team while collaborating with data engineers and business stakeholders. Stack: Scikit-learn/TensorFlow/PyTorch, cloud, Docker, Kubernetes, Git.
- Lead the design, development and deployment of machine learning models.
- Develop advanced data science solutions using Python.
- Implement and manage MLOps practices for model deployment, monitoring and lifecycle management.
- Design and maintain CI/CD pipelines for machine learning workflows.
- Optimize model performance, scalability and reliability.
- Collaborate with data engineers, developers and business stakeholders.
- Drive technical best practices and mentor team members.
- Ensure ML solutions are scalable, reliable and production-ready.
- 6–8 years of experience in Data Science and Machine Learning.
- Strong Python programming and development skills.
- Hands-on experience with MLOps and CI/CD pipelines.
- Experience in deploying and monitoring ML models in production.
- Knowledge of machine learning frameworks such as Scikit-learn, TensorFlow or PyTorch.
- Experience with cloud platforms, Docker, Kubernetes and Git.
- Strong understanding of model lifecycle management and automation.
- Lead data science and machine learning initiatives.
- Translate business requirements into technical solutions.
- Automate ML workflows and deployment processes.
- Troubleshoot and optimize machine learning applications.
- Work effectively with cross-functional teams.
- Opportunity to work on advanced data science and ML initiatives.
- Exposure to modern MLOps and CI/CD technologies.
- Collaboration with experienced technical teams.

