Leidos

Data Scientist – SME

Leidos

full-time

Posted on:

Location Type: Office

Location: Gaithersburg • Arizona, Colorado, Maryland, Montana, Virginia • 🇺🇸 United States

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Salary

💰 $126,100 - $227,950 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudHadoopNumpyPandasPythonPyTorchRemote SensingSparkTableauTensorflow

About the role

  • Serve as the technical SME in data science and geospatial analytics, providing high-level guidance on complex technical problems related to the GEOINT mission.
  • Lead the design and development of sophisticated data science models and machine learning algorithms to analyze large, multi-source geospatial data sets (e.g., satellite imagery, sensor data, geospatial databases).
  • Apply deep knowledge of GEOINT, remote sensing, and spatial analysis to develop and implement solutions that enhance data-driven decision-making capabilities.
  • Provide strategic recommendations for leveraging new and emerging technologies, including machine learning, AI, and cloud platforms, to improve analytical workflows, efficiency, and mission outcomes.
  • Mentor and train junior data scientists and analysts, ensuring the application of best practices in data science and the development of mission-relevant expertise.
  • Work closely with GEOINT analysts, program managers, engineers, and other stakeholders to identify critical requirements, define technical approaches, and ensure that solutions align with mission objectives.
  • Conduct applied research to explore innovative data science techniques and emerging trends (e.g., deep learning, reinforcement learning, advanced geospatial algorithms) that can be applied to solve real-world intelligence problems.
  • Oversee the deployment and operationalization of data science models, ensuring they are scalable, reliable, and deliver actionable insights to GEOINT decision-makers.
  • Maintain high-quality documentation for models, methodologies, and analysis processes to support reproducibility, training, and knowledge transfer.

Requirements

  • US citizenship is required per contract.
  • Bachelor’s degree in Data Science, Computer Science, Geospatial Science or related field and 12-15 years of prior relevant experience or Master’s with 10-13 years of prior relevant experience.
  • May possess a Doctorate in technical domain.
  • 10+ years of professional experience in data science.
  • 5+ years of experience with GEOINT or geospatial data analysis.
  • Proven expertise in developing and implementing machine learning and AI models, particularly in context of geospatial or remote sensing.
  • Deep knowledge of geospatial analytics tools (e.g., GIS, ArcGIS), remote sensing techniques, and the application of data science in the IC.
  • Expert proficiency in Python (or similar languages) and experience with data science libraries (TensorFlow, PyTorch, Pandas, NumPy).
  • Strong experience with big data processing tools (e.g., Spark, Hadoop, AWS or Azure cloud platforms).
  • Expertise in working with geospatial data formats (e.g., GeoTIFF, Shapefiles, WMS, WFS) and spatial libraries (e.g., GeoPandas, Rasterio, GDAL).
  • Advance experience in developing and operationalizing AI/ML models and algorithms for geospatial data (e.g., object detection from satellite imagery, spatial clustering, predictive analytics).
  • Strong background in data visualization and reporting tools (e.g., Tableau, PowerBI).
Benefits
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningAIgeospatial analyticsremote sensingPythonbig data processingdata visualizationdeep learningreinforcement learning
Soft skills
mentoringstrategic recommendationscollaborationproblem-solvingcommunication