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Scientific Programmer – Remote Sensing Applications
GTSC Talent Solutions (a GTSC Company). Develop and maintain science code for production of sea surface temperature datasets from multiple low Earth orbit and geostationary sensors .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining scientific code for sea surface temperature datasets, utilizing advanced programming skills in C++, Fortran, and Python. Proficient in remote sensing data analysis and machine learning applications, with a strong emphasis on independent research and collaboration within scientific teams.
Highest-signal resume keywords
PhD In A Quantitative FieldC++ ProgrammingMachine Learning With PyTorchRemote Sensing Data AnalysisMulti-Threaded Programming With OpenMP
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
C++ ProgrammingFortran ProgrammingPython ProgrammingMachine Learning AlgorithmsMulti-Threaded ProgrammingRemote Sensing Data FormatsError Characterization AlgorithmsCloud Masking AlgorithmsStatistical AnalysisIndependent Research
Soft Skills
Strong Analytical SkillsDetail-Oriented Working StyleTeam Player
Tools & Technologies
OpenMPMPICUDAPyTorchTensorFlowLinux Operating SystemsSSHApache Airflow
Industry Keywords
Remote SensingSatellite DataOceanographyMeteorologyNOAANESDISSTARSea Surface Temperature
Tech Stack
Tools & technologiesAirflowApacheCloudLinuxPythonPyTorchRemote SensingTensorflowC++
About the role
Key responsibilities & impact- Develop and maintain science code for production of sea surface temperature datasets from multiple low Earth orbit and geostationary sensors
- Develop and implement improved cloud masking, sea surface temperature retrieval, and error characterization algorithms
- Work with Sea Surface Temperature scientists and software developers at the Satellite Oceanography and Climatology Division under NOAA/NESDIS/STAR
- Conduct independent research, including problem definition, technical solution development, coding, and publication
- Support long-term scientific programming work contingent upon performance
Requirements
What you’ll need- PhD in a quantitative field of research (Physics, Math, Statistic, Remote Sensing, Oceanography, Meteorology) completed by date of hire; an MS with relevant experience working in a similar field will be considered
- Knowledge of remote sensing, satellite and oceanographic data, systems, and analyses
- Proficiency with C++, Fortran, and Python programming languages
- Experience with multi-threaded programming tools such as OpenMP, MPI, and CUDA
- Experience applying machine learning algorithms using PyTorch or TensorFlow
- Experience with remote sensing data formats such as netCDF4, HDF5, HDF4, and Zarr
- Familiarity with Linux operating systems and common tools such as SSH
- Familiarity with Apache Airflow is a plus
- Proven list of deliverables, including peer-reviewed publications, derived products, or software packages
- Willingness and ability to conduct independent research while being a team player
- Strong scientific analytical skills with a detail-oriented working style
- Selected applicants subject to a government background investigation
- Must present REAL ID-compliant identification or an equivalent acceptable form for new PIV card issuance
Benefits
Comp & perks- Health benefits
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care for full-time employees working 30-plus hours per week
- Recognition awards program for exceptional performance