Statistician, ML for Weather & Climate Risk

Karen Clark & Company; Boston (MA); On-site; USD 90,000 - 110,000; Full time

Job summary

Karen Clark & Company in Boston seeks a Statistician to join the Model Development Team. You will implement advanced data science and statistical methods, including machine learning, for weather, climate, and catastrophe modeling.

You will collaborate with scientists and engineers to analyze atmospheric data, develop robust models, and validate results to support risk assessment and client deliverables. Experience with extreme value theory and GOF tests is valued.

Qualifications

• PhD in Statistics preferred; MS in Statistics with relevant experience considered

Responsibilities

• Collaborate with scientists and engineers to develop advanced statistical and ML algorithms for weather, climate, and catastrophe modeling.
• Collect and analyze large atmospheric data sets to validate models.
• Conduct model sensitivity analyses and validation tests.

Education

PhD in Statistics

MS in Statistics

Job description

Karen Clark & Company in Boston seeks a Statistician to join the Model Development Team. You will implement advanced data science and statistical methods, including machine learning, for weather, climate, and catastrophe modeling.

You will collaborate with scientists and engineers to analyze atmospheric data, develop robust models, and validate results to support risk assessment and client deliverables. Experience with extreme value theory and GOF tests is valued.