About the job
Relay is revolutionizing the logistics landscape. With the backing of Europe’s largest logistics Series A funding of $35M, spearheaded by innovative deep-tech investors Plural, Relay is outpacing 99.98% of venture-backed startups. We are curating a highly skilled team that is setting new benchmarks in the logistics industry.
Our Mission at Relay is to eliminate friction in commerce. We recognize that exorbitant delivery costs serve as a hidden barrier to e-commerce, limiting market participation and product offerings online. Our vision is to create a world where goods can traverse boundaries with ease, enhancing accessibility and convenience for all consumers.
About Our Team
• A dynamic group of approximately 110 professionals, with over 50% specializing in engineering, product development, and data science.
• Our team boasts 45+ advanced degrees in disciplines including computer science, mathematics, and operations research.
• We manage thousands of data points for each parcel we handle, harnessing analytics for informed decision-making.
• Our culture thrives on first-principles thinking, rapid feedback cycles, and a commitment to continuous experimentation.
Role Overview
As a Senior Data Scientist within the Network squad, you will play a pivotal role in enhancing our forecasting engine, which is essential for operational efficiency. Your contributions will directly influence critical decisions across multiple teams at Relay. You will collaborate with fellow Data Scientists and Analysts, leveraging diverse expertise to tackle challenges in demand forecasting, expansion modeling, parcel intelligence, and sortation predictions. Your specific domain focus will align with your strengths and the squad's priorities.
Your responsibilities may include developing models that guide Relay's expansion strategies, determining optimal new locations, forecasting parcel dimensions for effective routing and logistics, and refining our operational models to ensure cost efficiency across the network.

