About the job
Relay is revolutionizing the logistics landscape in the digital age. With the backing of Europe’s most significant logistics Series A funding of $35 million, driven by cutting-edge investors such as Plural, known for their portfolio in fusion energy and space exploration, Relay is outpacing 99.98% of venture-backed startups. We are building an exceptionally talented team in the logistics sector.
Our Mission at Relay is to eliminate barriers to commerce. High delivery costs currently represent an unseen tax on e-commerce, influencing what can be sold online and who can participate. We envision a future where goods move freely among people, enhancing the online shopping experience for everyone.
THE TEAM
• A dynamic team of ~110 individuals, with over half dedicated to engineering, product, and data
• Over 45 advanced degrees among us in computer science, mathematics, and operations research
• We capture, calculate, analyze, and predict thousands of data points for every parcel we manage
• Our culture thrives on first-principles thinking, rapid feedback loops, and continuous experimentation.
The Opportunity
At Relay, our network is driven by data-driven decisions: where to dispatch couriers, how to price routes, and when to enter new markets. Each decision is underpinned by sophisticated models crafted by data scientists who bring them from concept to production.
As a Data Science Manager, you will oversee a team of six data scientists tackling complex challenges in logistics, such as last-mile marketplace dynamics, courier performance and retention, route estimation, network simulation, and telematics. These are not mere research projects; they are vital systems influencing daily operations.
This is an inaugural role aimed at setting a strategic direction across various domains, elevating execution standards, and advancing a high-performing team. You will also play a key role in defining the Data Science function by establishing cross-team forums, defining workflows, and fostering a culture that supports team growth.
You will maintain close engagement with our models—not purely in an individual contributor capacity, but by reviewing significant changes, collaborating on intricate issues, and stepping in for high-impact tasks when necessary. Your deep understanding of our systems and data will empower you to make informed technical decisions, facilitate team success, and enhance output quality.