Statistician

About This Role

This Statistician role involves joining the KCC Model Development Team to build advanced technology for weather, climate, and catastrophe modeling. You will work closely with other scientists and engineers to implement advanced data science and statistical methods, including machine learning.

Responsibilities

• Collaborate with scientists and engineers to develop advanced statistical and machine learning algorithms for cutting edge applications
• Collect and analyze large data sets of atmospheric data
• Conduct model sensitivity and validation tests

Requirements

• PhD in Statistics is preferred; candidates with an MS in Statistics and relevant job experience will also be considered
• Demonstrated experience with ML techniques
• Knowledge of extreme value models, goodness-of-fit test statistics, estimation methods, distribution fitting, and statistical inference
• Excellent written and oral communication skills
• Able to work independently and in a team environment

Benefits

• Medical, dental, and vision insurance
• 401(k) plan with company match
• Flexible Spending Account (FSA)
• Commuter benefits
• Paid time off (PTO) and company holidays
• Paid parental leave

About the Company

Karen Clark & Company (KCC) is an innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management, providing advanced models, innovative software, and comprehensive consulting services to enhance risk management strategies and climate resiliency. KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries.