Statistician

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

Statistician

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

• 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

Qualifications

• 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