Developer – Python for Data Science (Cloud ML Platforms) #10912414

Developer – Python for Data Science (Cloud ML Platforms)

Amsterdam, Netherlands Start Date

01 October 2026 Duration

6 months Experience

8–10 years Status

Open

About the Role

We are seeking an experienced Python Developer (Data Science & Machine Learning) to build, optimize, and deploy data-driven solutions across modern cloud platforms. The ideal candidate brings deep hands-on experience with Python ML libraries, statistical modeling, and cloud-based analytics environments such as Azure Machine Learning Studio, Azure Databricks, GCP, and AWS.

This role is suited for a developer who enjoys solving complex data problems, collaborating with cross-functional teams, and delivering scalable ML solutions in enterprise environments.

Key Responsibilities

• Develop and maintain Python-based machine learning pipelines using Scikit-learn, Pandas, NumPy, Matplotlib, Statsmodels, and related libraries.
• Build, train, and evaluate ML models using industry-standard techniques and statistical methods.
• Work across cloud platforms (Azure ML Studio, Databricks, GCP, AWS) to deploy and operationalize ML solutions.
• Perform data extraction, transformation, and analysis using SQL, Teradata, and BigQuery.
• Collaborate with data engineering, analytics, and business teams to translate requirements into technical solutions.
• Conduct model evaluation, performance tuning, and documentation of ML workflows.
• Ensure best practices in coding, version control, testing, and cloud governance.
• Contribute to continuous improvement initiatives and adopt new technologies where beneficial.

Essential Skills & Experience

• 8–10 years of experience in Python development, data science, or machine learning.
• Strong proficiency with ML libraries: Scikit-learn, Pandas, NumPy, Matplotlib, Statsmodels.
• Solid understanding of machine learning algorithms, model evaluation, and statistical modeling.
• Experience with cloud-based ML platforms (Azure ML Studio, Databricks, GCP, AWS).
• Strong SQL skills with exposure to Teradata and BigQuery.
• Excellent analytical thinking, problem-solving, and communication skills.
• Ability to learn new technologies quickly and work collaboratively in team environments.

Desirable Skills

• Experience with MLOps frameworks.
• Familiarity with distributed computing and large-scale data processing.
• Exposure to CI/CD pipelines for ML deployments.

Competencies

• Digital: Python for Data Science
• Cloud ML Platforms
• Statistical Modeling
• Data Engineering Collaboration
• Machine Learning Development

Why Join Us?

You will work with modern cloud technologies, advanced ML tooling, and a collaborative digital team focused on delivering high-impact data solutions across the Amsterdam site.