Lead Data Scientist (ID: 4139)

Stafide; Amsterdam; In loco; EUR 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Advanced ML projects

Exposure to MLOps/CI-CD

Descrizione del lavoro

Stafide is seeking a senior data science and ML lead to design, develop and deploy production‑ready models. You will implement MLOps, build CI/CD pipelines for ML workflows and optimize model performance at scale.

Collaboration with data engineers, developers and business stakeholders is essential for delivering impactful data solutions. The role requires strong Python expertise, hands-on experience with ML frameworks, and a track record of deploying ML models in production across cloud

Competenze

• 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.

Mansioni

• 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.

Descrizione del lavoro

• 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.

What You Bring to the Table

• 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.

What We Bring to the Table

• Opportunity to work on advanced data science and ML initiatives.
• Exposure to modern MLOps and CI/CD technologies.
• Collaboration with experienced technical teams.