About this role
About the Role
Join an early-stage AI/ML team building data-driven solutions for retail supply chains. This role is suited to a technically strong, quantitatively minded builder who can turn ambiguous problems into practical, production-ready work.
What You'll Do
- Develop and deploy machine learning and data science solutions for operational problems.
- Work with complex data to build forecasting, optimization, or other quantitative models.
- Use agentic AI coding tools in your day-to-day technical work and contribute in a fast-moving startup environment.
What We're Looking For
- 5 to 10+ years of technical experience, with an engineering, machine learning, or quantitative background; a data science title is not required.
- Strong quantitative foundations, such as a rigorous mathematics or other quantitative degree from a highly selective university, or equivalent depth.
- Daily experience with agentic AI coding tools such as Claude Code, Cursor, or similar.
- Experience as an early startup hire, ideally among the first 15 employees, and the ability to build in a zero-to-one environment.
- Production-focused technical skills and comfort working with ambiguity and evolving data. Retail or fresh produce experience is not required.
- Based in Berlin or willing to relocate, and comfortable with a highly demanding startup environment.
Compensation & Benefits
Base salary: €70,000 to €110,000 annually. Visa sponsorship is available.
Location
Hybrid in Berlin, Germany. Relocation support is available.