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Karen Clark & Company

Statistician

Posted 18 Days Ago
Be an Early Applicant
In-Office
Boston, MA, USA
90K-110K Annually
Entry level
In-Office
Boston, MA, USA
90K-110K Annually
Entry level
Develop statistical and machine learning algorithms for weather, climate, and catastrophe modeling. Collaborate with scientists and engineers, analyze large atmospheric datasets, and conduct model sensitivity and validation testing. The role requires advanced knowledge of statistical inference, extreme value models, distribution fitting, estimation methods, and goodness-of-fit testing, along with demonstrated machine learning experience.
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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
HQ

Karen Clark & Company Boston, Massachusetts, USA Office

116 Huntington Avenue, Boston, MA, United States, 02116

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