About the job
Relay is revolutionizing the logistics landscape in the digital age. Proudly supported by Europe's largest logistics Series A funding of $35M, spearheaded by innovative investors like Plural, who are involved in pioneering fields such as fusion energy and space exploration, Relay is experiencing rapid growth, outpacing 99.98% of all venture-backed startups. We are committed to creating a team filled with extraordinary talent, the likes of which the logistics industry has never seen.
Our Mission is to eliminate friction in commerce. In the current landscape, soaring delivery costs serve as an unrecognized barrier for e-commerce, influencing what products are available online and who can engage in the market. Our vision is a world where goods flow freely among individuals, ensuring a seamless and inclusive online shopping experience for everyone.
About Our Team
• A diverse group of approximately 110 members, with over 50% specializing in engineering, product, and data roles.
• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research.
• We analyze and predict thousands of data points for every parcel we manage.
• Our culture thrives on first-principles thinking, rapid feedback loops, and a spirit of relentless innovation.
Technology Stack Highlights
Cloud-native infrastructure on GCP, utilizing BigQuery and Cloud Run extensively.
Heavy reliance on machine learning modeling and LLM inference - this is a core part of our operations.
Programming languages include Python, Rust, and TypeScript - we prioritize simplicity and choosing the right tools.
Development of cross-platform Flutter applications, with a strong focus on user experience.
Integration of emerging technologies, including robotics and IoT in our operations.
The Opportunity
Although we are not currently hiring for Data Science roles, we recognize that establishing a top-tier delivery system will necessitate outstanding data talent. By applying here, you will become part of our Data Science Talent Pool, and we will reach out when suitable positions become available.
This is an excellent opportunity to express your interest early and maintain a connection with us as we expand.
Who Thrives in This Role?
A robust background in statistical modeling, machine learning, operational research, and experimentation.
Curiosity and a drive for continuous learning and improvement.

