Science Systems and Applications, Inc. - Science and Technology with Passion

 

SSAI is an Equal Employment Opportunity and Affirmative Action Employer. EEO/AA-Minorities/Females/Veterans/Individuals with Disabilities

Satellite Data Analysis and Algorithm Development Support
Reference #:21-3101
Open Date:5/3/2021
Location:Greenbelt, MD
US Citizenship Required:No
  
Job Description:

Science Systems and Applications, Inc (SSAI) is seeking a Scientific Programmer to support our work under the Support for Atmospheres, Modeling and Data Assimilation contract at NASA Goddard Space Flight Center (GSFC).

The successful candidate will provide programming and scientific analysis support of data from various current and future satellite missions. Duties include support of algorithm development, data analysis, validation, and data assimilation with satellite observations; assisting with radiative transfer model development, simulation, diagnosis, and validation; and providing support for future remote sensing efforts to study the Earth’s atmosphere. The successful candidate will also support development and implementation of new algorithms and tools for satellite data analysis.

This position will begin as a telecommuting position and is expected to convert to a position based on-site at NASA’s GSFC.

Required Qualifications:

· Bachelor's degree in atmospheric science, meteorology, or a closely related field and 4 years of experience or an equivalent combination of education and experience.

· Programming proficiency in Python, C++, Fortran.

· Experience working in a Linux environment.

· Good communication skills and the ability to work well within a group.

· Ability to meet NASA IT security requirements and to obtain a NASA badge to work onsite at GSFC (once Covid restrictions are lifted).

· A positive attitude, the ability to work well as part of a team, and the willingness to learn

Desired Qualifications:

· Master's degree atmospheric science, meteorology, or a closely related field.

· Familiarity with Earth science data formats.

· Experience working with satellite-related datasets.