Remote Sensing Data Scientist

Culture
At ClimateAi we are driven by a united passion to tackle climate change. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal-opportunity employer.
We hire people who are collaborative, adaptable, communicate well, and love to learn. Expect to give and receive constructive criticism, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team.
What you'll do

• Utilizing Remote Sensing and GIS technologies to analyze and interpret geographical data. This includes processing and analyzing data from various Remote Sensing sources such as LandSat, MODIS, Sentinel, SMAP, GRACE-FO, OPERA, and others.
• Collaborating with a team to develop and implement a comprehensive workflow. This includes coordinating with other team members to ensure the successful completion of the project.
• 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.

Qualifications:

• 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. This includes experience with processing and analyzing data from various Remote Sensing sources.
• Proven experience in developing and implementing machine learning algorithms. This includes experience with various machine learning techniques such as regression, classification, clustering, and deep learning.
• Strong problem-solving skills and the ability to work with complex datasets. This includes experience with data cleaning, data transformation, and data visualization.
• Excellent communication and teamwork skills. This includes the ability to effectively communicate complex technical concepts to non-technical team members.
• Experience with a wide variety of geospatial data, including LULC, soils, DEMs and topographically derived metrics.

Preferred Skills:

• Knowledge of Python (familiarity with Julia, R, or JavaScript is an asset)
• Experience with collaborative data development (familiarity with AWS, Jupyter, and GitHub is an asset)
• Experience manipulating geospatial data in Python (or Julia, R, or JavaScript). Familiarity with QGIS, Whitebox, or GRASS is an asset.
• Experience communicating complex findings to a non-technical audience

What We Offer You

• 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