Software Engineer I

  • Full-time
  • Verisk Business: AER

Company Description

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!

With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

Job Description

AER is seeking a motivated software engineer to work as part of an energetic team developing complex software for multiple government and commercial programs providing solutions to real-world problems related to environmental remote sensing, weather-related data analytics, and weather impacts on operations. The successful applicant will work in a small interdisciplinary team and interact closely with scientists, product developers and engineers in an agile development process to design, develop, test, integrate and deploy software capabilities to support a diverse set of customers.

We are currently seeking a software engineer with 0-5 years of experience. For entry-level applicants, some project work is strongly desired (e.g. undergraduate research opportunity or personal side project).

The position requires both new software development and ability to adapt/extend existing code. Existing code includes but is not limited to Python and Java. Candidates must have at least a bachelor’s degree in computer science, or in the physical sciences or mathematics with a strong computer science emphasis. A successful applicant will have demonstrated the ability to develop software in some prior project work and to rapidly learn new software technologies. Strong technical and communication skills, teamwork, and problem solving in a fast-paced R&D environment are required.

Qualifications

 

·         Strong programming skills with an understanding of object-oriented design in language(s) such as Python, JavaScript, Java, C/C++, etc.

·         Demonstrated experience in software development of scientific, geospatial or engineering applications.

·         Demonstrated ability and enthusiasm for rapidly learning and applying new software technologies to complex problems.

·         Demonstrated user-level experience with a version control technology such as Git, Subversion, etc.

We envision successful candidates would have experience or strong interest in one or more of the following categories:

·         Data Science techniques like data analysis and visualization using Python, R, or MatLab.

·         Machine Learning using technologies like PyTorch, TensorFlow, MXNet, etc.

·         Cloud Computing development and deployment using AWS, Google Cloud Platform, or Azure.

·         Scientific Computing libraries such as NumPy, SciPy, and Matplotlib.

·         DevOps using technologies such as Docker, Ansible, Packer, Vagrant and Terraform.

·         Modern Web Development frameworks like ReactJS, Angular, or VueJS

·         Meteorology, Remote Sensing, Physics, or other geophysical sciences.

·         High Performance Computing and code optimization, including experience in multithreading and multiprocessing applications, and GPGPU programming.

This position is open to US citizens only and successful applicants must have the ability to apply for a DoD-secret level clearance.

#LI-AO1

Additional Information

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 disability.

http://www.verisk.com/careers.html

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. 

 

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