Data Scientist

• Experience in forecasting problems, especially in logistics and supply chain.
• Strong scientific background, curiosity about business domains, and proactive communication skills.
• Ability to write production-ready Python code, review PRs, and maintain extendable codebases.
• Experience with ML libraries/frameworks (XGBoost, scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of Google Cloud Platform (GCP), including Cloud Storage and BigQuery.
• Familiarity with MLOps tools (Metaflow, BentoML, KubeFlow).
• Ability to understand and debug code.
• Apply analytical findings to real-world business problems.
• Excellent problem-solving skills and strategic mindset.
• Ideally, knowledge of IaC tools (Terraform), automated testing, and CI/CD tools (GitHub Actions).
• Ability to work in cross-functional teams and demonstrate good business acumen.

1. Experience in forecasting problems, especially in logistics and supply chain.
2. Affinity with software engineering practices in the data science space.
3. Cross-functional collaboration and strong business acumen.
   

Let op: vacaturefraude

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