The Insider’s Guide to Tech Interviews (Geo & ML Edition)

Job interviews can be intimidating—especially in technical roles such as geospatial data scientist, data engineer, or ML engineer where expectations are high and the questions go beyond just algorithms. Whether you're applying to a climate-tech startup, a satellite earth observation company, or big tech, the interview process often blends coding, domain knowledge, and communication skills in a way that can catch even experienced professionals off guard.

In this article, I’ll break down what to expect in technical interviews for geospatial roles, how to prepare effectively, and how to avoid common pitfalls. This guide draws on both personal experience and insights from reviewing hundreds of resumes and mentoring professionals in the GeoAI space.

We’ll cover:

• The structure and types of interviews you’re likely to face

• How to prepare for both general and geo-specific technical questions

• Real-world examples of what you might be asked

• Strategies for standing out

Whether you’re gearing up for your first interview or navigating your next big move, this guide is here to help you show up prepared and confident.

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