Senior Water Data Scientist

This is a hybrid position which requires 8 days

per month in the office. You can be based in our office in our office in Washington, DC or Mexico City, Mexico . Existing work authorization is required at the time of application submission as WRI is unable to sponsor any visa work sponsorship for this position. To be eligible for this position in US, you must be a resident of DC, Maryland or Virginia at the start of employment.

The Senior Water Data Scientist will serve as the technical and scientific lead for a flagship initiative focused on advancing how the impacts of nature-based solutions (NBS) and green-gray infrastructure (GGI) on water security outcomes are measured and monitored across Latin America and the Caribbean (LAC) and beyond. This role will help shape a next-generation approach to understanding causal inference and attribution for how NBS influence water availability, water quality, hydrologic regulation, drought resilience, flood risk, and watershed resilience, by convening partners to build the scientific methodologies and digital architecture that will make monitoring and measuring the water outcomes of NBS credible and accessible at scale.

The Senior Water Data Scientist will work with an interdisciplinary team across WRI’s Cities4Forests, Water Program, Global Nature Watch, Data Lab, and regional offices to identify, evaluate, and apply the best available science, data, models, artificial intelligence (AI) tools, and other emerging technologies for impact measurement and monitoring (IMM). The role will help bridge cutting-edge scientific research with practical implementation needs for utilities, investors, governments, and practitioners.

The ideal candidate will bring deep expertise in one or more of the following areas

• planetary causal inference -> integrating planetary-scale data and localized information to derive insights about causality
• AI, machine learning and data-driven environmental mode