Data Scientist

### About Arbol Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for businesses to analyze and mitigate exposure to climate risk. Our products provide parametric coverage that pays out based on objective data triggers rather than subjective assessments of loss. ### Role Overview In this role, you will research, develop, and apply machine learning tools to model and price climate and weather risk. You will work with diverse weather and geospatial datasets, from traditional weather-station readings to satellite indices of vegetation content. You will engage in the improvement and maintenance of existing pricing and modeling tools while developing new methodologies. ### What You'll Be Doing - Collaborate within the analytics team and across teams to gain expertise in Arbol’s data/pricing infrastructure and products. - Develop and improve models for climate and weather perils such as heat waves and severe storms. - Implement, assess, and execute pricing algorithms for various weather risks. - Work with sales and executive teams to perform business-critical analytics. ### What You'll Need - BA in statistics, computer science, mathematics, or a related quantitative field. - Experience programming in Python and familiarity with common data science packages (Pandas, Numpy, scikit-learn). - Experience analyzing large datasets. - Strong problem-solving and analytical skills. - Comfort with statistics (e.g., linear regression, hypothesis testing). - Willingness to work and learn in a fast-paced environment. ### Salary $95,000 - $125,000 a year