Data Scientist

Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery., * Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms

• Design and maintain data conversion and ETL pipelines to prepare customer data for model training
• Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
• Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
• Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
• Develop and visualize explainable AI metrics and model performance indicators
• Incorporate research and development outputs into the operational code base
• Communicate analytic findings to both technical and non-technical stakeholders
• Contribute to solutioning sessions and technical sections of project proposals

Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required., * 5+ years of experience in data science, machine learning, or a related field

• Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
• Experience building and maintaining ETL or data processing pipelines
• Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
• Experience with Git-based version control systems
• Proficiency working in the Linux operating system
• Strong analytical and problem-solving skills
• Ability to work in a fast-paced, collaborative, Agile environment
• Eligibility to work in classified environments and hold required security clearances

Preferred Qualifications

• Experience with synthetic data generation and analysis for computer vision applications
• Experience with cloud-based or distributed computing platforms
• Experience deploying models into production and supporting ongoing operations and maintenance
• Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
• Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
• Experience contributing to technical proposals