Verisk Analytics - Boston, MA

posted 2 months ago

Full-time - Entry Level
Boston, MA
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

The Climate Statistics Team at Verisk is seeking a climate scientist or climate-oriented statistician to contribute to the development of catastrophe models and products that address risk estimation in a changing climate. This role involves creative problem-solving, analysis, and communication at the intersection of extreme weather, climate change, and risk. The successful candidate will engage in data analysis, statistical modeling, and interpretation of climatic signals to improve model-building for the (re)insurance sector, ultimately aiding in better-informed decision-making to enhance social resilience against climate change.

Responsibilities

  • Contribute to data analysis, physical interpretation, documentation, and statistical modeling of climatic signals, trends, and nonstationarities in atmospheric perils.
  • Perform literature review and synthesis related to climatology and impacts of changing background environments on various perils.
  • Help interpret unfolding catastrophic events in the context of climatic variability and change.
  • Contribute reproducible analysis and analytic tools to the Climate Statistics code bases.
  • Help formulate answers to client questions related to climatic aspects of Verisk Extreme Event Solution's atmospheric peril models.
  • Act as a soundboard for teams building out models aiming for consistency with current climate state and climate-change projected extensions of model products.

Requirements

  • Doctoral degree in Climate Science or Statistics, with demonstrated interest and experience in the other.
  • Skills in data analysis, including ability and comfort in handling and intercomparing gridded climate model output data, as well as sparse local observations with heterogeneity in space, time, and quality.
  • Strong interest in reviewing, understanding, and explaining climatic change across a range of phenomena and regions.
  • A love for coding and reproducible workflows.
  • Interest in interfacing and collaborating closely with a range of domain-area physical scientists and statisticians within modeling teams.
  • Excellent communication in both technical and non-technical contexts, and formal presentations and informal discussions.
  • Ability to create compelling data visualization to tell a story.
  • Current knowledge of CMIP models and scenarios.
  • Willingness and confidence to provide climate science leadership and guidance to team members.

Nice-to-haves

  • Experience blending physical information with statistics to account for uncertainties in model and data.
  • Fluency with coding in R, and experience with R package development.
  • Experience in collaborative coding under version control (e.g., git).
  • Experience with media interviews.
  • Expertise in the area of formal detection and attribution methodologies.
  • Proficiency in shell scripting and cluster computing.

Benefits

  • Flexible work environment
  • Support for ongoing education and skill development
  • Health insurance coverage
  • Paid holidays
  • Diversity and inclusion programs
  • Employee discounts
  • Professional development opportunities
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