Remote Sensing Data Scientist

March 19

ClimateAi

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Accelerating climate resilience in food and agriculture

climate change • machine learning • artificial intelligence • climate science • renewables

51 - 200

💰 $22M Series B on 2023-04

Description

• Utilizing remote sensing and GIS technologies to analyze and interpret geographical data • Collaborating with a team to develop and implement a comprehensive workflow • Development of near real-time estimates of flood hazard in an operational context • Developing and implementing machine learning algorithms for both the mapping of historical flood impacts as well as predictive modeling • Producing long-term flood hazard projections using proprietary CAi long-term climate projections

Requirements

• An Earth Systems science degree (e.g., hydrology, climate, geomorphology, geography). A Master’s degree or PhD is preferred • Extensive experience with remote sensing and GIS technologies • Proven experience in developing and implementing machine learning algorithms • Strong problem-solving skills and the ability to work with complex datasets • Excellent communication and teamwork skills • Experience with a wide variety of geospatial data, including LULC, soils, DEMs, and topographically derived metrics

Benefits

• Competitive salary and equity • Medical, dental, vision benefits • Learning budget per year • Unlimited PTO policy with minimum time off requirements • Flexible working hours on many teams • Culture of diversity and inclusion including employee resource groups • Work with smart, curious, passionate people and be part of the mission to help the world