Support Scientist II

About Science and Technology Corporation (STC):
Founded in 1979 Science and Technology Corporation (STC) provides award-winning scientific engineering and technical services to U.S. Government and industry partners. We are dedicated to advancing our customers missions through innovation trusted partnerships and science-driven engineering excellence. With integrity and precision we deliver reliable solutions that make a real impact. At STC we invest in our employees growth well-being and successfostering a culture of respect trust and empowerment. Join our world-class team and help shape the future of science and technology.

• Employment Category:Full-Time
• Location:Greenbelt MD preferred Remote considered Hybrid option
• Travel: Some/Frequent (domestic campaigns workshops)
• Security Clearance: None
• Citizenship:Requires U.S. Citizenship
• Salary: $90000 - $105000

Job Description:

We are seeking a Support Scientist II to join a team supporting cloud-based workflows for NASA Earth science data at the Goddard Space Flight Center (GSFC) on the ATMOS contract. This role focuses on integrating scientific expertise with software development to enable next-generation analysis of remote sensing and modeling datasets.

The position will support emerging work in vegetation remote sensing ecological modeling and multi-instrument data fusion with an emphasis on developing scalable cloud-native workflows and data products.

ATMOS is a NASA support services contract that provides advanced scientific engineering and technical expertise to enable Earth and space science missions. The program supports research data analysis technology development and mission operations across multiple NASA centers. Through ATMOS our teams deliver innovative solutions that help advance NASAs mission and expand scientific discovery.

This is an opportunity to work at the intersection of Earth system science data science and cloud computing supporting NASA missions and research initiatives.

Key Responsibilities Include:

Scientific Data Analysis & Product Development

• Develop new science data products from remote sensing observations using a combination of physically based models (e.g. radiative transfer) and data-driven approaches (e.g. machine learning).
• Support modeldata fusion efforts across terrestrial ecology atmospheric science and related Earth system domains.
• Apply data assimilation downscaling and predictive modeling techniques to generate advanced Earth observation datasets.
• Design and execute targeted model simulations related to ecological processes vegetation dynamics and natural resource applications.

Machine Learning & Advanced Analytics

• Develop and apply machine learning and hybrid modeling workflows for feature extraction classification and regression analysis of Earth science datasets.
• Evaluate and validate AI/ML models for environmental data applications.

Data Fusion & Remote Sensing Applications

• Support multi-instrument and multi-scale data fusion including harmonization of datasets from diverse remote sensing platforms.
• Analyze and process airborne and satellite datasets including lidar hyperspectral and high-resolution imagery.
• Contribute to development of computational approaches for characterizing geospatial phenomena such as vegetation structure fuel loads and fire risk.

Cloud-Based Scientific Computing

• Develop and maintain cloud-native workflows for data processing analysis and modeling in environments such as Amazon Web Services (AWS) and Microsoft Azure.
• Support transformation of datasets into analysis-ready cloud-optimized formats.
• Collaborate on scalable data pipelines and computational workflows for large geospatial datasets.

Collaboration & Scientific Support

• Work closely with NASA scientists to translate research needs into computational solutions.
• Contribute to scientific publications technical documentation and conference presentations.
• Participate in collaborative research efforts supporting NASA Earth science missions and programs.

Benefits:

• Paid Time Off Starting at 80 hrs/yr 11 Federal holidays and 40 hrs/yr Sick Leave
• 401K with up to 4% employer matching contribution
• Comprehensive Medical Dental Vision Insurance Short Term/Long Term Disability
• Flexible spending account
• Health savings account
• Tuition reimbursement

• 2 years of research experience in atmospheric or related sciences.

• Experience working with scientific datasets and data analysis workflows
• Strong analytical and problem-solving skills
• Ability to work effectively in a collaborative interdisciplinary environment
• Strong written and verbal communication skills
• Strong background in programming (FORTRAN Python C/C).
• Familiarity with visualization/analysis tools such as IDL MATLAB or LabVIEW.
• Ability to meet NASA IT security requirements and obtain/maintain a NASA badge

Education:

• Ph.D. in atmospheric science physical science mathematics computer science or equivalent.