Head of Data Science
Job Description
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
• 8-11+ 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 visualization, LLM/AI tooling, and cloud infrastructure.
This job was posted by Jancy Alice Challam from GeoIQ.
