> Markdown version of [/jobs/ext/4573663-lead-data-scientist-id-4139](https://www.wearedevelopers.com/jobs/ext/4573663-lead-data-scientist-id-4139). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist (ID: 4139) - **Company:** STAFIDE - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Model Validation, Git, Scikit Learn, Kubernetes, Machine Learning Operations, Docker - **Published:** November 5, 2026 - **Apply:** https://www.adzuna.nl/details/5953361698 ## About the Role * 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. You Should Possess the Ability To * 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. ## Description * 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.