Data Scientist FSP Security Clearance

Position: Data Scientist FSP Required) with Security Clearance
BOAB Ventures is seeking a Data Scientist / Machine Learning Engineer to support a government Sponsor conducting strategic research and development. This role focuses on the evaluation, system design, software engineering, and transition of research-grade, primarily open-source algorithms and software prototypes into a secure Sponsor and Partner Cloud Environment for operational deployment. The selected candidate will play a critical role in validating, hardening, packaging, and transitioning advanced analytics, AI, and machine learning solutions both within the Sponsor organization and to external mission partners.

Key Responsibilities Evaluate and verify research-grade software prototypes and algorithms Design and implement systems to transition prototypes into a secure cloud deployment environment Engineer and package software solutions for deployment across Sponsor and Partner infrastructures Develop and conduct independent testing and evaluation methodologies to assess algorithm performance Optimize models and algorithms for memory, compute, and operational efficiency Integrate and leverage internally hosted data science tools Document results and provide technical guidance to downstream users and partners Collaborate with researchers, engineers, and mission stakeholders across multiple domains Required Skills & Experience Demonstrated experience with Python, JavaScript, and R Experience employing machine learning and deep learning frameworks, including:
Pandas Scikit-learn Tensor Flow PyTorch Strong background in statistical inference, predictive modeling, and machine learning methods Experience performing large-scale text analytics

Experience with Linux system administration and scripting (e.g., Bash) Experience developing or interfacing with Android systems Experience working with embedded systems (e.g., Raspberry Pi) Highly Desired Skills & Experience Hands-on experience with Natural Language Processing (NLP) Experience developing, deploying, and testing:
Convolutional Neural Networks (CNNs) Large Language Models (LLMs) Foundational models Experience creating testing and verification frameworks to evaluate and improve algorithm performance Experience deploying ML models on multimedia data, including:
Text Audio Video Hardware sensors and peripherals Experience optimizing algorithms via:
Quantization Model pruning / trimming layers Custom memory and compute optimization techniques Technical Environment (Representative Tools & Technologies) Programming & Scripting:
Python, JavaScript, R, Bash Operating Systems & Cloud Platforms:
Linux, AWS (Sponsor Cloud Environments) Data & ML Tools:
Pandas, Scikit-learn, Tensor Flow, PyTorch Big Data & Analytics:
Large-scale text analytics pipelines, custom ML tool chains Embedded & Edge Technologies:
Android, Raspberry Pi Security & Compliance:
Sponsor-approved A&A and security tooling Project & Workflow Tools:
Agile project management tools, issue tracking and ticketing systems Education & Experience Bachelor’s, Master’s, or Doctorate in Data Science, Computer Science, Systems Engineering, or related technical discipline (or equivalent experience) Prior Intelligence Community (IC) experience strongly preferred