Senior Data Scientist; Secret Clearance - Remote

Location: Remote
Job Type: Full-Time
Clearance Requirement: Secret Clearance (Top Secret Preferred)

Praescient Analytics is seeking a highly skilled and visionary Senior Data Scientist to provide enterprise-level analytical leadership, advanced statistical modeling, and machine learning oversight for the National Background Investigation Services (NBIS) and Enterprise Information Technology (EIT) application development suites. In this role, you will define the overarching predictive analytics vision, establish rigorous machine learning workflows, and conceptualize advanced statistical models optimized for a secure cloud environment.

Working without supervision on highly complex initiatives, you will lead the evolution of traditional reporting into modern, highly scalable, and secure predictive models within an AWS Gov Cloud environment. You will collaborate closely with principal data architects, data engineers, chief data officers, and federal program stakeholders, exercising wide latitude for independent judgment to ensure our nation's background investigation analytics frameworks are resilient, secure, and compliant with zero-trust mandates.

• Advanced Statistical Analysis & Modeling: Formulate, experiment with, and articulate alternative statistical frameworks. Apply rigorous experimental design, hypothesis testing, and statistical analysis to massive federal datasets, validating results against strict requirements and security assumptions.
• Machine Learning Engineering & Vision: Design, build, and deploy end-to-end machine learning pipelines (including predictive modeling, anomaly detection, and NLP), aligning model development life cycles with the Agile SAFe v6.0 roadmap.
• Scalable Analytics & Cloud Optimization: Author scripts and frameworks for modernizing legacy analytics systems into highly distributed, cloud-native processing and intelligence solutions specifically optimized for AWS Gov Cloud.
• Data Exploration & Advanced Querying: Establish standardized methodologies for data extraction, manipulation, and feature engineering across enterprise-grade relational and non-relational data stores. Maintain strict data integrity and reproducible research practices.
• High-Throughput Integration Strategy: Partner with data engineers to design and integrate ML models directly into high-volume, low-latency batch and stream processing pipelines (e.g., Kafka, Spark) that bridge application and analytics tiers.
• Cross-Functional Collaboration: Serve as the principal data science advisor across the entire program. Work with software engineers, data architects, and customer application experts to evaluate technical trade-offs and drive advanced analytics capabilities.
• Agile Requirements Optimization: Leverage Jira, Confluence, and SAFe processes to translate high-level mission capabilities and agency mandates into foundational analytical epics, technical features, and modeling roadmaps.

• Clearance & Citizenship: Active U.S. Secret clearance required. Must be a U.S. Citizen to meet federal contract mandates.
• Education & Experience: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field with 10–12 years of relevant data science and machine learning experience, OR Master’s degree with 8–10 years of relevant experience, OR PhD with 5–7 years of relevant experience.
• Mastery of Statistics & Machine Learning: Deep, extensive proficiency in advanced statistical methods (regression analysis, forecasting, causal inference) and machine learning algorithms (supervised/unsupervised learning, ensemble methods, deep learning, NLP).
• Expert-Level Programming & Querying: Mastery of Python (including PyData stack: Pandas, Num Py, Scikit-Learn, Sci Py) and advanced SQL (complex joins, window functions, analytical queries) for handling multi-million row datasets.
• AWS Gov Cloud Ecosystem: Comprehensive experience designing and deploying scalable ML models and analytics pipelines within AWS Gov Cloud, specifically utilizing Sage Maker, Redshift, Glue, EMR, Athena, S3, and DynamoDB.
• Advanced…