Data Scientist - Spécialité Recherche opérationnelle (F/H)

Foodles

Foodles, a leader in providing modern canteen experiences, leverages connected fridge technology to offer fresh, seasonal meals across Europe. The Data Scientist role is central to personalizing customer interactions and optimizing the entire value chain of the company. Collaborating with the Data and other teams, the role addresses complex problems impacting business outcomes.

In this role you can expect to have the responsibilities:

• Develop a deep understanding of Foodles' operations and liaise with business teams to ensure solution relevance.
• Design and refine machine learning and operational research models for fridge content personalization.
• Enhance food offerings to align with customer preferences and operational constraints.
• Analyze data to identify continuous improvement opportunities.
• Evaluate the impact of implemented solutions on business results.
• Develop dashboards for algorithm validation and production monitoring.
• Collaborate with technical and business teams to deploy scalable solutions.

This role comes with the following benefits:

• Option for full remote work from France, with 3 on-site days per month.
• Affordable meals available daily.
• Accessible office locations with the possibility of telecommuting.

This role requires you to have:

• Engineering degree in operations research or data science.
• Experience in data science with a focus on Operational Research.
• Strong analytical skills for pattern identification and actionable recommendations.
• Ability to deliver user-friendly and effective features.

You would benefit from having:

• Experience in a fast-growing environment.
• Agile mindset with user-oriented focus.
• Ability to communicate complex ideas to non-technical audiences.

Foodles offers a dynamic environment where team members gain autonomy and responsibility along with the opportunity to work with motivated colleagues.