Developer – Python for Data Science (Cloud ML Platforms) #10912414
Developer – Python for Data Science (Cloud ML Platforms)
Amsterdam, NetherlandsStart 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.
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