Data Scientist in Oklahoma City, Oklahoma at Ready 3 LLC

Ready 3 is seeking an experienced Data Scientist to support a defense-related program based in Oklahoma City, Oklahoma. The Data Scientist will design, build, and operationalize analytic models and data products that turn large, complex, and often disparate program data into decision-ready insight for government and program stakeholders. This is a hands-on, mission-focused role embedded with a multidisciplinary team supporting program performance, forecasting, and data-driven reporting in a secure environment.

The ideal candidate combines strong statistical and machine-learning fundamentals with the practical engineering skills to deliver production-grade analytics, and brings the discipline and discretion required to operate within a defense acquisition and compliance context.

• Develop, validate, and deploy statistical, machine-learning, and predictive models that support program performance analysis, budget and schedule forecasting, and risk identification.
• Acquire, clean, integrate, and structure data from multiple program and enterprise systems into reliable, analysis-ready datasets.
• Build and maintain data pipelines, dashboards, and visualizations that deliver clear, actionable insight to technical and non-technical decision-makers.
• Translate program and customer questions into well-scoped analytic problems, and communicate findings, assumptions, and limitations clearly.
• Partner with data engineers, program analysts, and government stakeholders to ensure analytic products are accurate, repeatable, and aligned to mission requirements.
• Document methodologies, data sources, and model assumptions to support reproducibility, auditability, and knowledge transfer.
• Adhere to all applicable security, data-handling, and compliance requirements governing the program and its data.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.
• Minimum of five (5) years of applied data science or advanced analytics experience.
• Demonstrated proficiency in Python and/or R, including common data science libraries, and strong SQL skills.
• Hands-on experience developing and deploying machine-learning, statistical, and/or predictive models on real-world data.
• Experience with data wrangling, feature engineering, and working with large and imperfect datasets.
• Proficiency with data visualization and reporting tools (e.g., Power BI, Tableau, or equivalent).
• Strong written and verbal communication skills, with the ability to present technical results to non-technical audiences.
• U.S. Citizenship and the ability to obtain and maintain a U.S. Government security clearance.
• Ability to work on-site in Oklahoma City, Oklahoma.

• Master’s or higher degree in a quantitative discipline.
• Active U.S. Government security clearance (Secret or above).
• Prior experience supporting defense, federal, or aerospace programs, including familiarity with defense acquisition data and terminology.
• Experience with cloud analytics environments (e.g., AWS, Azure) and modern data platforms.
• Familiarity with ML Ops practices, version control, and CI/CD for analytics workflows.
• Experience working within FAR/DFARS, CMMC, or other federal compliance frameworks.

Work is performed on-site in Oklahoma City, Oklahoma, in a professional office and/or secure facility environment. The position may require work in controlled or access-restricted spaces consistent with defense program requirements. Standard full-time schedule; occasional extended hours may be required to meet program milestones.

Ready 3 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law. Employment is contingent upon successful completion of a background check and verification of eligibility to work on U.S. Government defense programs.