What are the responsibilities and job description for the Statistician position at Karen Clark & Company?
KCC seeks a highly motivated Statistician to join the KCC Model Development Team who are building advanced technology for weather, climate, and catastrophe modeling. In this position, you will work closely with other scientists and engineers to implement advanced data science and statistical methods including machine learning.
About KCC
Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide 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. For more information, please visit www.kcc.us.com
Expected Salary Range: $90,000- $110,000
Responsibilities
About KCC
Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide 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. For more information, please visit www.kcc.us.com
Expected Salary Range: $90,000- $110,000
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
- 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
- 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
Salary : $90,000 - $110,000