Data Scientist
Overview
Placement Type:
Temporary
Compensation:
Euro 660 per day
Start Date:
Asap
Background:
We are looking for a data scientist to improve and evolve forecasting models in the Fulfilment Forecasting and Planning area within the Fulfilment and Core Services domain. This cross-functional area is building digital products that provides demand forecasts and planning decision support for supply chain logistics. The digital products are used by a global audience, built by teams consisting of product owners, data scientists, software engineers and business partners.
The scope of the consultant services is to assist in:
The focus of the work will be developing, improving, and maintaining data science, machine learning, and data engineering models. In addition to the science and the tech, this will require the exploration and study of logistics planning processes within supply chain. Communication with diverse stakeholders is expected and crucial to identify key factors impacting logistic operations.
Requirements
The ideal candidate should have strong scientific background, business domain curiosity and proactive communication skills.
– Experience in forecasting, simulation, and/or optimization models, especially in logistics and supply chain.
– Ability to write production-ready Python code, review PRs, and contribute to maintainable, usable, and extendable codebases. – Strong knowledge of cloud services, especially Google Cloud Platform (GCP), including Cloud Storage or BigQuery
– Familiarity with open-source MLOps tools like Metaflow, BentoML, KubeFlow, or similar
– Ideally, knowledge of Infrastructure as Code (IaC) tools like Terraform, automated testing and CI/CD tools like GitHub Actions – Ability to work in cross-functional teams with product owners, data scientists, backend engineers, and frontend engineers
– Strong communication skills and proactive attitude.
Top 3 most important:
- Experience in forecasting, simulation, and/or optimization models, especially in logistics and supply chain.
- Affinity with software engineering practices in the data science space
- Cross-functional collaboration and teamwork
Client Description
A leading goods and home services retailer. Their vision is to create a better everyday life for the consumers. Their value chain includes everything from product development, design, supply, manufacture and sales – and of course it begins and ends with their customers.
