Reston, VA  Leidos

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Description

The Leidos Health and Civil Sector is seeking a Geospatial Data Scientist with expertise in machine and deep learning for geospatial applications and snow remote sensing. This position will be part of the growing Earth Intelligence team, which has demonstrated funding success with multiple agencies and the resources of a Fortune and S&P 500 company with over 47,000 employees.

The work involves building applied scientific tools for a number of federal agencies, covering the full project lifecycle from: proposal, prototyping, customer feedback, revision, and delivery of quality-controlled finished software. The incumbent will work on multiple projects across federal contracts with agencies including: NASA, NOAA, USGS, and the USACE. For example, we have work specifically on optical and microwave remote sensing of snow and ice. This is a full-time role with a remote work location of the incumbent’s choice anywhere in the US.

Basic Qualifications:

English language fluency

US Citizen or Permanent Resident

Ph.D. in a technical field involving Earth observations or an MSc. with 4 years of relevant experience in geospatial data analysis and machine learning for Earth intelligence applications

Knowledge of satellite-based or airborne remote sensing instruments and methods, such as hyperspectral, multispectral, passive microwave, and thermal infrared

Proficiency with:

Machine and deep learning techniques (e.g., neural networks, random forests) and Python libraries (e.g., scikit-learn, PyTorch, TensorFlow, Keras)

Python for processing and analysis of large geospatial datasets (e.g., rasterio, xarray/rioxarray, geopandas, satpy, Dask)

Geospatial and GIS tools: GDAL, ArcGIS Pro, QGIS, or similar

Geospatial raster data (e.g., projections, interpolation)

Version control: Git

Numerical optimization: solving linear systems

Established record of technical writing of proposals, reports, and user manuals

Preferred Qualifications:

Deep experience instead of proficiency in any or all of the above tools

Industry & academic experience

Publications in high-impact scientific journals

Cryospheric research and field work experience; remote sensing validation of snow and/or ice using in situ measurements

Experience rapidly developing and deploying deep learning models on geospatial images

Experience with:

MATLAB, IDL, R, or other high-level languages

Efficient geospatial data formats: NetCDF, HDF5, and Zarr

A variety of sensors for cryospheric applications – hyperspectral, multispectral, microwave, & thermal

Multi-sensor fusion techniques

Energy-balance modeling for cryospheric applications

Mobility applications – optimal route-finding strategies

DevOps

SQL databases

Radiative transfer models

Original Posting:

May 30, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $85,150.00 – $153,925.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

#Remote

REQNUMBER: R-00160099

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

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Job Hiring / Reston, VA / Geospatial Data Scientist >> APPLY/LEARN MORE >> https://de.jobsyn.org/db965325ce8f4996b364a41f981abb778003 >> #job #jobs #hiring #BGJobs   

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