Atmospheric and Environmental Research (AER), a Verisk business, has been helping businesses and governments better anticipate and manage climate and weather-related risks for more than 40 years. Large government agencies like NOAA, NASA and the Departments of Defense and Energy rely on AER’s scientists to help solve weather and climate related problems of vital national importance in energy, environment and national security. Large insurance, energy and investment firms count on AER to help them decrease weather-related losses and increase profitability by integrating state-of-the-art climate science and weather information into their planning and decision processes.  To learn more about AER please visit us at: www.aer.com. We are proud to be a part of the Verisk family of companies! 

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.    

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.    

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

AER is hiring for a Satellite Data Scientist with experience in the application of Machine Learning (ML) and Artificial Intelligence (AI) techniques to satellite data for weather forecasting and other applications. One of the most daunting challenges facing the exploitation of satellite data is the limit imposed by the computational resources to process the significant volume of data available. In this position, you will explore using Artificial Intelligence –based techniques (as well as other advanced techniques) for satellite remote sensing, radiative transfer modeling, surface emissivity modeling, data assimilation and data fusion, to produce a high resolution, global product that exploits all data efficiently.

You will work with staff at the National Oceanic and Atmospheric Administration (NOAA) Center for Satellite Applications and Research (STAR) in College Park, MD. You will perform research to help STAR develop and test new numerical approaches to satellite remote sensing and data assimilation, with a focus on machine learning and artificial intelligence techniques. As part of this work you will interact and collaborate with several partners and stakeholders in government, academia, and industry.

About the Day to Day Responsibilities of the Role

• Explore the use of machine learning and artificial intelligence approaches to efficiently perform satellite remote sensing, radiative transfer modeling, surface emissivity modeling, data assimilation, and data fusion.
• Assist STAR staff in assessing and testing new numerical techniques including AI/ML methods.
• Assess the potential impacts of products from existing and future satellite observing systems on NOAA’s environmental numerical model prediction and analysis systems.
• Prepare regular progress reports and contribute to scientific reports and peer-reviewed publications
• Prepare and give presentations at scientific conferences

About You and How You Can Excel in This Role

• 3-5 years of relevant experience in AI/ML approaches, especially with these approaches applied to satellite data and data fusion.
• Advanced degrees (masters and/or doctorate) preferred.
• Able to work on moderately complex scientific projects independently and as part of a multi-disciplinary team.
• High degree of technical skill with scientific programming in multiple computer languages.
• Excellent written and verbal communication skills.

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