Remote Data Scientist - Climate Risk Analytics

About the Role

We are seeking a Remote Data Scientist to join Arbol, a leading climate risk coverage platform and FinTech company. In this role, you will leverage machine learning tools to model and price climate and weather risks, contributing to our mission of providing innovative solutions for businesses to analyze and mitigate exposure to climate risk. This Remote Data Scientist position offers a unique opportunity to work with diverse datasets and engage in impactful analytics.

What You'll Do

• Collaborate within the analytics team and across departments to gain expertise in Arbol’s data and pricing infrastructure.
• Develop and enhance models for climate and weather perils, including heat waves and severe storms.
• Implement and evaluate pricing algorithms for various weather risks.
• Work closely with sales and executive teams to conduct business-critical analytics.
• Utilize your programming skills in Python and data science packages like Pandas and Numpy.

Requirements

• BA in statistics, computer science, mathematics, or a related quantitative field.
• Experience programming in Python and familiarity with common data science packages.
• Strong analytical skills and experience analyzing large datasets.
• Comfort with statistical methods such as linear regression and hypothesis testing.
• Willingness to learn and adapt in a fast-paced environment.

Nice to Have

• Experience with machine learning frameworks.
• Knowledge of climate data and its applications in risk assessment.
• Familiarity with blockchain technology and its use in operational efficiencies.

What We Offer

• Competitive salary ranging from $95,000 to $125,000 per year.
• Equity in a high-growth startup.
• Comprehensive health, dental, and vision coverage.
• 401(k) match to support your future.
• Flexible PTO to help you recharge.

At Arbol, we value diverse perspectives and encourage candidates from non-traditional backgrounds to apply. If you require accommodations during the hiring process, please reach out to us at hr@arbol.io.