Senior Data Scientist, Secret Clearance

🔥 1 hour ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Praescient Analytics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🎖️ Defense

🏛️ Government

🤖 Artificial Intelligence

Defense • Government • Artificial Intelligence

Praescient Analytics is a mission-focused analytics and engineering company that transforms data into actionable intelligence for government, defense, and law enforcement customers. It combines advanced analytics, AI/ML, data science, cyber analytics, and secure IT/cloud engineering to provide operational and investigative support, predictive modeling, and mission-ready technology solutions. The firm embeds experienced practitioners — former federal agents, intelligence officers, military veterans, data scientists, and engineers — to deliver precision-driven solutions that strengthen national security, combat threats, and optimize federal operations.

📋 Description

• 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 • 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 • Author the scripts and frameworks for modernizing legacy analytics systems into highly distributed, cloud-native processing and intelligence solutions specifically optimized for AWS GovCloud • Establish standardized methodologies for data extraction, manipulation, and feature engineering across enterprise-grade relational and non-relational datastores • 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 effortlessly bridge application and analytics tiers • 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 • Leverage Jira, Confluence, and SAFe processes to translate high-level mission capabilities and agency mandates into foundational analytical epics, technical features, and modeling roadmaps

🎯 Requirements

• Active U.S. Secret clearance is required • Must be a U.S. Citizen to meet federal contract mandates • 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 in a related field with 8–10 years of relevant experience OR PhD in a related field with 5–7 years of relevant experience • Deep, extensive proficiency in advanced statistical methods (regression analysis, forecasting, causal inference) and machine learning algorithms (supervised/unsupervised learning, ensemble methods, deep learning, NLP) • Mastery of Python (including PyData stack: Pandas, NumPy, Scikit-Learn, SciPy) and advanced SQL (complex joins, window functions, analytical queries) for handling multi-million row datasets • Comprehensive experience designing and deploying scalable ML models and analytics pipelines within AWS and AWS GovCloud, specifically utilizing SageMaker, Redshift, Glue, EMR, Athena, S3, and DynamoDB • Expert-level knowledge of extracting and manipulating data from enterprise-grade relational databases (Oracle, PostgreSQL), NoSQL engines, and massive parallel processing (MPP) data warehouses • Expert proficiency with Git, Jira, Confluence, and MLOps principles within an automated DevSecOps environment to manage model versioning and deployment pipelines • Proven ability to work without supervision on highly complex, mission-critical projects, exercising wide latitude for independent judgment • Strong interpersonal skills with the ability to articulate complex mathematical and analytical visions to both engineering teams and senior federal stakeholders

🏖️ Benefits

• Very competitive salary based on qualifications and experience • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles) • 401(k) with company match • Travel & performance incentives • 3 weeks paid time off (plus Federal Holidays) • $5K annual training allowance