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Senior Scientist

Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

About the Role

Make a meaningful impact in the world with wildfire modeling. Extreme fires in recent years have caused billions of dollars in properties lost and damaged. In addition, in a changing climate, the historical patterns of wildfire activity are also changing and challenging the ability of the insurance industry to mitigate the risk. Wildfire modeling seeks to quantify the risk, allowing the industry to better prepare for disaster before it strikes.

Join our growing Research and Modeling department as a member of our wildfire modeling team. You will work with the team to develop, optimize, and deploy advanced computational models that simulate fire ignition, spread, and penetration into the wildland-urban interface at meter-scale resolution for millions of scenarios, and that describe the complex relationships between wildfire activity, weather/climate, fuels, and other factors. As a member of this collegial team, you will work closely with a range of stakeholders to (a) incorporate up-to-date scientific knowledge, data, and modeling approaches into our existing models; (b) develop new models and model components; and (c) deploy existing modeling technologies into new regions and/or for new applications.

About the Day to Day Responsibilities of the Role

  • Keep abreast of current wildland fire research and look for ways to integrate this research into existing and new wildfire models.
  • Understand the principles of wildland fire models and how their components work together to assess sensitivity to key drivers (e.g., fuel type, weather).
  • Critically assess and estimate statistical significance of trends in wildfire activity and climate drivers in the United States and elsewhere.
  • Evaluate new climatological, wildfire fuel, and wildfire activity; integrate into existing models; and explain changes seen in modeled results.
  • Create, optimize, and run critical model code using the principles of high-performance computing.
  • Navigate and manage multiple code repositories, data sets, and data archives with appropriate approaches to archiving and version control.
  • Prepare accurate and effective technical and non-technical documents describing modeling processes and results, both for client use and internal model improvement.
  • Create and deliver presentations to coworkers, company management, and clients.
  • Deliver results on time to meet project objectives.  

#LI-SM1

#LI-Hybrid

Qualifications

About You and How You Can Excel in This Role

  • Solid foundational knowledge of atmospheric, climatic and/or hydrological processes and their quantification across large landscapes.
  • Practical experience analyzing/interpreting large model output datasets for both model evaluation and improvement.
  • Mathematical and/or statistical experience and practical experience developing new models and/or significant new components (e.g., advanced subroutines) in existing models.
  • Programming skills gained through practical experience with a modern programming languages is essential.
  • Ability to gather, understand, and critically analyze information from all relevant sources, such as historical fire/weather/climate databases, scientific papers, government reports, insurance data, etc.
  • Demonstrated ability to learn new concepts and skills and to meet project objectives and deadlines.
  • Excellent written and oral communication skills.
  • Knowledge of the application of probabilistic modeling to (re)insurance applications and/or climate change science a plus.
  • Experience applying climate and/or weather forecasting model output to landscape processes is a plus.
  • Experience using and managing large datasets; practical experience with SQL is desirable.
  • Experience with ArcGIS a plus.
  • Advanced degree in wildfire, climate, atmospheric or environmental science, engineering, mathematics, or statistics (Ph.D. preferred).

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

 

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disabilityVerisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

https://www.verisk.com/privacy-policies/data-privacy-notice-for-employees-applicants-and-independent-contractors/ 

 

 

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What You Should Know About Senior Scientist, Verisk

Join Verisk as a Senior Scientist in Boston, MA, where you have the chance to make a significant difference in combating the challenges posed by wildfires. In this engaging role, you will dive deep into wildfire modeling, a crucial area in understanding and mitigating the devastating effects of extreme fires in our changing climate. Imagine being part of a dynamic team dedicated to developing, optimizing, and deploying advanced computational models that simulate fire behavior in detail. You will work closely with a collegial group of experts to ensure our models incorporate the latest scientific knowledge while enhancing their accuracy and application. Your day-to-day will include staying updated on wildland fire research, assessing statistical trends, and utilizing high-performance computing to run intricate model codes. Your insights could inform improvements in insurance and disaster preparedness strategies, directly impacting communities. If you have a strong background in atmospheric and climatic processes, programming, and statistical analysis, this could be the perfect opportunity to thrive in a rewarding environment. Verisk prides itself on fostering innovation and inclusivity, recognized as a Great Place to Work across multiple regions. You can expect to collaborate with various stakeholders, delivering impactful presentations, preparing comprehensive documentation, and contributing to projects that empower organizations in their risk management decisions. If you're ready to engage with cutting-edge technology and research and play a vital role in shaping the future of wildfire risk modeling, come join us at Verisk!

Frequently Asked Questions (FAQs) for Senior Scientist Role at Verisk
What qualifications are required for the Senior Scientist position at Verisk?

To excel as a Senior Scientist at Verisk, candidates should hold an advanced degree in wildfire, climate, atmospheric or environmental science, engineering, mathematics, or statistics, with a Ph.D. preferred. A solid understanding of atmospheric and climatic processes, practical experience with programming and statistical analysis, and strong communication skills are essential to succeed in this role.

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What does a Senior Scientist at Verisk do?

As a Senior Scientist at Verisk, you will be responsible for developing, optimizing, and running complex wildfire models that simulate fire ignition and spreading. You will analyze new datasets, integrate current scientific research into modeling practices, and engage in presenting findings to a range of stakeholders, ensuring that the models evolve to provide critical insights.

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What skills are needed for the Senior Scientist role at Verisk?

The Senior Scientist role at Verisk requires strong programming skills, the ability to analyze extensive datasets effectively, and knowledge of wildland fire model principles. Familiarity with SQL, ArcGIS, and experience in probabilistic modeling related to insurance applications are pluses that can significantly enhance your candidacy.

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How does Verisk support the career growth of Senior Scientists?

Verisk prioritizes employee development and offers various training resources, coaching, and mentorship opportunities to help Senior Scientists grow their careers. With a culture that values innovation and inclusivity, you'll be continually learning and adapting in your role.

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What impact does the work of a Senior Scientist at Verisk have?

The work of a Senior Scientist at Verisk directly influences the insurance industry's ability to manage risks associated with wildfires. Your modeling and research will help predict fire behaviors, allowing communities and businesses to enhance their emergency preparedness, potentially saving lives and properties.

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Can you describe the work environment for a Senior Scientist at Verisk?

At Verisk, the work environment for a Senior Scientist promotes collaboration and innovation. You will work in a hybrid model, allowing flexibility to balance office and remote work. The company emphasizes a friendly, team-oriented culture, fostering inclusivity and diversity among its 7,000 employees.

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What benefits does Verisk offer to Senior Scientists?

Verisk offers a competitive benefits package for Senior Scientists, including comprehensive health insurance, retirement plans, performance bonuses, and access to learning and development resources. The company is committed to maintaining a culture that supports employee well-being and professional growth.

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Common Interview Questions for Senior Scientist
Can you explain how you would approach developing a new wildfire model?

In developing a new wildfire model, I would start by conducting extensive literature reviews to identify existing models and research gaps. I would gather relevant datasets, and outline the key variables influencing fire behavior, such as fuel types and weather patterns. By utilizing a systematic methodology, I would combine theoretical frameworks with practical application, ensuring the model's outputs are both viable and valuable for stakeholders.

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How do you ensure the accuracy of your models in estimating wildfire risk?

Ensuring model accuracy involves rigorous testing and validation processes. I typically compare model outputs with historical data to assess performance. Additionally, I integrate feedback from stakeholders and stay updated on the latest research developments to refine model assumptions and incorporate new data sources effectively.

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What programming languages are you most proficient in for wildfire modeling?

I am most proficient in Python and R, as they offer powerful libraries for statistical analysis and data visualization. Additionally, I have experience with C++ for high-performance computing tasks, which is crucial for running complex simulations efficiently.

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Describe your experience with high-performance computing in relation to model simulations.

I have utilized high-performance computing to run large-scale wildfire simulations, which involve processing extensive datasets and executing multiple scenarios in parallel. This experience has enhanced my ability to optimize code and improve computation times, enabling thorough analyses and timely results delivery.

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How do you stay informed about changes in wildfire research and methodologies?

Staying informed about wildfire research involves subscribing to relevant journals, attending conferences, and following key researchers in the field. I also engage in professional networks and workshops to exchange knowledge with peers, which helps integrate emerging methodologies into my modeling practices.

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Can you describe a particularly challenging modeling project you've worked on?

One challenging project involved modeling wildfire risks across a diverse landscape with varying climate conditions. I faced the difficulty of integrating multiple data sources and managing computational limits. By iteratively refining my models and collaborating with domain experts, we successfully delivered valuable insights that informed disaster preparedness strategies.

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What role do communication skills play in the Senior Scientist position?

Communication skills are vital for articulating complex modeling processes and findings to technical and non-technical audiences. In my role, I need to present results effectively to stakeholders, ensuring they understand implications for risk management. This also involves preparing detailed documentation that can be referenced for future model improvements.

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How do you manage tight deadlines when delivering model results?

Managing tight deadlines requires careful planning and prioritization. I break projects into manageable tasks, set milestones, and utilize project management tools to track progress. If necessary, I communicate closely with my team to ensure alignment on priorities, enabling us to meet project objectives efficiently.

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How do you incorporate feedback into your modeling work?

Incorporating feedback is essential to improving model accuracy and usability. I actively seek input from colleagues and stakeholders throughout the modeling process, utilizing their insights to make iterative changes. This collaborative approach not only enhances the model but also builds stronger team relationships.

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What motivates you to work in wildfire modeling?

I am motivated by the opportunity to contribute to meaningful solutions that address climate issues. Wildfire modeling is not just about data; it's about making a tangible difference in community safety and resilience. This sense of purpose fuels my passion and dedication to excel in my role.

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To be the leading strategic data, analytics and technology partner to the global insurance industry by delivering value to our clients through knowledge, expertise and scale.

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Full-time, hybrid
DATE POSTED
November 25, 2024

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