Relay
Logistics
StaffDataScientist-Geospatial
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Scientist - Geospatial at Relay. Skills: Geospatial data, Location data, Movement data, Data modeling, Data product development, Cross-functional collaboration. Own the location and movement datasets. Define how geospatial data is built, measured, and evolved”
What You'll Achieve.
Make the operation faster and more reliable; Add value across the business
Industry & Context.
Complex problems with high impact; Problem decomposition
What They're Looking For.
Must Have
Deep experience with geospatial data, telemetry, or GPS trace processing
Nice to Have
GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Own the location and movement datasets
Define how geospatial data is built
Build models to make the operation faster and more reliable
Define how data quality is measured
Quantify the impact of data gaps on the operation
Prioritize data quality improvements
Continuously evolve location datasets
Own the technical strategy and roadmap for geospatial data solutions
Partner with engineering to productionize and integrate solutions
Build observability into pipelines
Build reusable data products
Define core metrics that add value across the business
Coach and mentor other data scientists
How You'll Work.
Team & Collaboration
Work cross-functionally with Engineering, Operational Research and Data Scientists; Integrate data solutions across the Relay network; Invest in your teammates; Give and receive feedback with care and candour; Build trust through high standards and shared success
Communication Scope
Clear problem definition; Meticulous impact measurement; Candour
Full Job Description
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM • ~110 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay operates a delivery network that generates rich location and movement data every day. Understanding that data — and turning it into improvements across the delivery operation — is the focus of this role. As Staff Data Scientist for Geospatial, you will own the location and movement datasets that underpin Relay's delivery operation, defining how they are built, measured, and evolved. You will use signals from across the network to build models that make the operation faster and more reliable. This is a senior individual contributor role. You will work cross-functionally with Engineering, Operational Research and Data Scientists to integrate your data solutions across the Relay network. What You'll Do - Define how we measure the quality of our geospatial data: identifying gaps, quantifying their impact on the operation, and prioritising improvements. - Continuously evolve our location
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