Data Scientist

Input Technology Solutions is seeking a Data Scientist for a great opportunity at Nellis AFB in Las Vegas, NV! Key Responsibilities Modeling & Analysis: Build and train machine learning models to generate insights from ISR data, including geospatial object detection, behavior prediction, anomaly detection, and image classification. Data Preparation: Clean, normalize, and engineer features from complex ISR datasets to support reliable analysis. Data Fusion: Integrate multiple ISR sources (imagery, signals, time-series) into unified datasets for stronger analytics. Visualization & Reporting: Produce clear visualizations that deliver real-time, actionable intelligence to commanders and analysts. Team Collaboration: Partner with Cloud Engineers and ISR analysts to operationalize data pipelines and deploy AI/ML models. Operational Readiness: Maintain analytics functionality in contested, degraded, or resource-limited environments. Innovation: Track new AI/ML, data science, and ISR tools and apply them through rapid prototyping and deployment. Required Qualifications 5+ years applying data science to large datasets (structured, unstructured, geospatial, or imagery). Programming in Python or R for analysis and model development. Experience building ML/DL models using TensorFlow, PyTorch, or scikit-learn. Strong data engineering background including ETL pipelines and preprocessing large ISR datasets. Experience with cloud AI/ML platforms such as AWS SageMaker or Azure ML. Visualization experience with Tableau, Power BI, or Plotly. Geospatial analysis experience using ArcGIS, QGIS, or GeoPandas. Active TS/SCI clearance. Preferred Qualifications Experience with ISR data (UAV, satellite, or ground sensors) or DoD / Intelligence Community environments. Familiarity with geospatial frameworks such as GeoServer or Google Earth Engine. Knowledge of NLP methods and their use in ISR workflows. Experience applying data fusion methods across ISR sources. Experience deploying AI/ML in cloud environments using Docker or Kubernetes. Familiarity with Agile or DevOps workflows. Master's or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or related field. AWS Machine Learning Specialty or similar AI/ML certifications.

Created: 2026-03-10