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Statistician

Karen Clark & Company

Boston, MAJob$90–110K/yrTracked todaySeen in employer's feed today

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At a glance

Compensation
$90–110K/yr
Location
Boston, MA
Work Authorization
Not specified

Job overview

Karen Clark & Company seeks a highly motivated Statistician to join the Model Development Team, collaborating with scientists and engineers to develop advanced statistical and machine learning algorithms, collect and analyze large atmospheric data sets, and conduct model sensitivity and validation tests.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningExtreme Value ModelsGoodness-of-Fit Test StatisticsEstimation MethodsDistribution FittingStatistical InferenceCommunication

Qualifications

PhD in StatisticsMS in Statistics

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full 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 (http://www.karenclarkandco.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

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