The Chefs' Warehouse is seeking to solve the problem of enhancing decision-making, streamlining operations, and personalizing product recommendations for internal teams through AI-powered tools. This involves leveraging data science and machine learning to support culinary professionals and sales representatives in a fast-growing, mission-driven environment.
Requirements
- 3+ years of experience as a Data Scientist or Machine Learning Engineer, ideally in foodtech, e-commerce, or a B2B SaaS environment.
- Demonstrated ability to translate real-world problems into technical solutions, and explain results in business-friendly terms.
- Experience building tools or models specifically tailored for culinary professionals, product discovery, or sales enablement.
- Understanding of product recommendation algorithms, personalization strategies, or knowledge graph design.
- Experience deploying models in production environments using cloud services (GCP, Azure).
Responsibilities
- Collaborate closely with Chefs, sales reps, and other internal stakeholders to identify AI-driven opportunities that support their workflows.
- Design, prototype, and deploy machine learning models that power internal recommendation systems, forecasting tools, and search functionality.
- Develop and maintain end-to-end data pipelines that support scalable AI tools, from data ingestion and transformation to model deployment and monitoring.
- Translate business needs into data science solutions and clearly communicate complex results to non-technical stakeholders.
- Continuously improve internal tools by testing new algorithms, optimizing performance, and incorporating user feedback.
Other
- Must be local to Connecticut or New York!!
- Bachelor’s or Master’s degree in a related field.
- Strong communication and cross-functional collaboration skills.
