Data Scientist

Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol’s products offer parametric coverage which pays out based on objective data  triggers rather than subjective assessment of loss. Arbol’s key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage.
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 covering a suite of phenomena, from traditional weather-station readings of temperature and precipitation, to radar measurements of hail stone sizes, to satellite indices of vegetation content. You will learn how to use our existing catalog of pricing and modeling tools, engage in their improvement and maintenance, and develop new methodologies. We are open to a range of experience levels for this position.

About the TeamThe analytics team is responsible for making sense of the terabytes of data Arbol has at its disposal. It forms the connective tissue between more client-facing teams, such as sales, and back-end roles like data engineering. You’ll be joining a small team of data scientists and researchers and will have a unique opportunity to impact many levels of the firm. This is an ideal position for someone interested in building machine learning systems while taking a deep dive into the insurance industry.

What You'll Be Doing

• Collaborate within the analytics team and across teams to gain expertise Arbol’s data/pricing infrastructure and products
• Develop and improve models for climate and weather perils such as heat waves, severe convective storms, and tropical cyclones
• Implement, assess, and execute pricing algorithms for a wide array of weather risks
• Work with sales and executive teams to perform business-critical analytics

What You'll Need

• BA in statistics, computer science, mathematics, or 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

Essential Job Functions & Physical RequirementsAbility to sit for extended periods of time while working at a computer, with or without reasonable accommodationAbility to use a computer, keyboard, mouse, and standard office equipment (e.g., phone, printer, scanner)Ability to view a computer screen for prolonged periods, with or without reasonable accommodationAbility to communicate effectively in person, by phone, and via emailAbility to occasionally stand, walk, bend, and reach within an office environmentAbility to lift and/or move up to 10–15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodationAbility to perform repetitive motions, such as typing or data entryAbility to maintain focus and attention while performing detailed tasks

Interested, but you don’t meet every qualification? Please apply! Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement.
AccessibilityArbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact hr@arbol.io
BenefitsArbol is proud to offer its full-time employees competitive compensation and equity in a high-growth startup.  Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health.  We offer a 401(k) match to support your future, and flexible PTO for you to relax and recharge. 
Equal Opportunity Employer Arbol is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientati