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Lead Data Scientist (ID: 4139)

STAFIDE

Amsterdam
Full-time
5-10 years experience
On-site

Key Skills

Python
Machine Learning
MLOps
CI/CD
Scikit-learn
TensorFlow
PyTorch
Docker
Kubernetes
Git
Model Lifecycle Management
Automation
Data Science
Cloud Platforms

Job Description

As a Lead Data Scientist, you will
  • 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.
Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Asha Krishnan
Phone: +31 20 369 0609 ; Extn :146

Core Responsibilities

Lead the design, development, and deployment of machine learning models while implementing MLOps practices. Collaborate with cross-functional teams to ensure scalable, reliable, and production-ready data science solutions.

Requirements

Requires 6-8 years of experience in Data Science and Machine Learning with strong Python programming skills. Candidates must have hands-on experience with MLOps, CI/CD pipelines, and cloud platforms.

About STAFIDE

Industry: Staffing and Recruiting

Company size: 11-50 employees

Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.

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