Statistician

Posted Yesterday
Be an Early Applicant
Boston, MA, USA
In-Office
90K-110K Annually
Entry level
Information Technology
The Role
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.
Summary Generated by Built In

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

Skills Required

  • PhD in Statistics
  • MS in Statistics with relevant job experience
  • Demonstrated experience with machine learning techniques
  • Knowledge of extreme value models
  • Knowledge of goodness-of-fit test statistics
  • Knowledge of estimation methods
  • Knowledge of distribution fitting
  • Knowledge of statistical inference
  • Excellent written and oral communication skills
  • Ability to work independently and in a team environment
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Boston, MA
36 Employees

What We Do

Karen Clark & Company develops software that provides innovative tools for catastrophe risk management. Over two decades ago, Nobel Peace Prize Honoree Karen Clark pioneered the catastrophe risk modeling techniques and solutions used today by virtually every insurance and reinsurance company in the world. Karen Clark & Company is now leading the next generation of catastrophe risk management solutions to address the evolving needs of its clients. RiskInsight®, the first open loss modeling platform, is used by insurance and reinsurance companies in US and non-US markets and supports new catastrophe models for major perils such as hurricanes, earthquakes, and severe convective storms. Additional innovations by Karen Clark & Company include the Characteristic Event (CE) methodology and real-time event tracking.

Similar Jobs

In-Office
10 Locations
2320 Employees
108K-150K Annually
In-Office
12 Locations
2320 Employees
108K-150K Annually
In-Office or Remote
3 Locations
720 Employees
In-Office
Boston, MA, USA
349 Employees
75K-80K Annually

Similar Companies Hiring

Standard Template Labs Thumbnail
Artificial Intelligence • Information Technology • Software
New York, NY
25 Employees
NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Sydney, AU
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account