Data Scientist
Tasks
- Analyze structured and unstructured data
- Apply computer vision techniques
- Apply natural language processing techniques
- Apply signal processing techniques
- Collect data preprocess data feature engineer
- Conduct model testing and validation
- Conduct model testing operational evaluation
- Coordinate data pipelines storage and computing infrastructure
- Deploy machine learning models
- Design machine learning models
- Develop actionable intelligence insights
- Develop machine learning algorithms
- Integrate machine learning into ISR platforms
- Integrate machine learning into UAS detection systems
- Monitor models in production
- Perform sensor fusion analysis
- Process sensor data imagery signals open source data
- Support machine learning lifecycle
- Support technical proposals and white papers
- Train, validate, and tune models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Apache Kafka | Apache Spark | Artificial Intelligence | Cloud platform | Computer Vision | Data Analysis | Data Pipelines | Data Preprocessing | Feature Engineering | Geospatial Data | Geospatial Data Analysis | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Language Processing | Machine Learning | Microsoft Azure | Model Deployment | Model Validation | Natural Language | Natural Language Processing | Pattern of Life | Pattern of Life Analytics | SQL | Sensor fusion | Signal Processing | Trajectory Modeling
Education
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