Senior Data Scientist with Security Clearance
Description
Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
Submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
Job Requirements
- Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
- Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
- Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
- Translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
- Build and validate AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrate models into production environments, and optimize performance for real-time analytics.
- Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
- Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
Education
A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) years of equivalent experience in AI/ML model development and deployment.
Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.
Security Clearance
Active TS/SCI clearance.
Location
Doral, Florida. (USSOUTHCOM Headquarters)