We're looking for someone who thinks like the CEO of our data science vertical, not a manager of models but an owner of outcomes. You will decide what gets built, how fast it ships, and whether it actually moves a business forward.
Responsibilities
- The end-to-end data science function, i. e., modeling, quality, delivery, and roadmap.
- GeoIQ's core models spanning satellite imagery analysis, mobility data, hundreds of public data sources, and location intelligence. These are hard problems. Some need sophisticated models; some need sharper thinking. You'll need both.
- Client outcomes: understanding a business problem deeply, building a solution that works, and making sure it scales across clients, geographies, and use cases.
- Cross-functional execution with Product and Engineering to ship products.
- Sales support: helping the commercial team win deals with data-backed pitches.
- Defining what gets built next, we have strong foundations and an expanding surface area of problems worth solving.
Requirements
- 8-12+ years in data science or applied ML - strong fundamentals across modeling, feature engineering, and problem formulation.
- Track record of taking hard, ambiguous problems and turning them into robust, scalable solutions that drove real decisions.
- Comfortable in client rooms - you can discuss a complex geospatial or imagery-based model with a retail CFO without losing the thread.
- Experience leading a data team - the quality of ownership you built in it matters more than its size.
- Exposure to geospatial, satellite, or mobility data is a strong plus.
- You find ambiguity energizing, not paralyzing.
- Tech Stack: We care about how you think, not which tools you've used. That said, our environment broadly involves: Python SQL Geospatial tooling Satellite imagery processing ML / statistical modelling Data visualisation LLM / AI tooling Cloud infrastructure.
This job was posted by Jancy Alice Challam from GeoIQ.
