[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Diné Development Corporation is a Navajo Nation owned family of companies that delivers IT, professional, and environmental solutions. They are seeking a Senior Data Scientist to lead the full lifecycle of advanced analytics and machine learning models in support of a Department of Defense customer, ensuring compliance with quality standards while providing decision-quality insights.

Responsibilities

• Lead the end-to-end lifecycle of machine learning and statistical models, from problem framing and data acquisition through deployment, monitoring, and retirement
• Design and implement models using causal inference and Bayesian methods to support high-impact operational and strategic decisions
• Develop and maintain model risk management practices, including validation, back-testing, performance thresholds, and issue remediation
• Create and maintain model cards and other documentation that clearly describe model purpose, assumptions, limitations, performance, and governance controls
• Embed ethical AI principles into model design and usage, including fairness, transparency, explainability, and human-in-the-loop oversight
• Architect and scale analytical solutions on DoD data fabrics and cloud environments, collaborating with cloud architects and engineering teams
• Define and track model and analytics performance against AQLs and QASP metrics; proactively recommend improvements to meet or exceed targets
• Partner with security, infrastructure, and operations teams to ensure models comply with cybersecurity, data protection, and configuration management policies
• Provide technical leadership and mentorship to junior data scientists and analysts, reviewing work products and promoting best practices
• Prepare and deliver briefings, dashboards, and written reports that distill complex analytics into clear, actionable insights for senior leaders
• Support proposal and capture efforts by contributing data science subject matter expertise and solution concepts as needed
• Perform other duties as assigned to support mission and contract requirements

Skills

• Active Secret clearance; must be able to obtain and maintain a Top Secret clearance if required by the customer
• 9–12 years of progressive experience in data science, machine learning, statistics, or a closely related field, including support to DoD or other U.S. government customers
• Master's degree (MS) in Data Science, Computer Science, Statistics, Electrical Engineering, or a closely related discipline (required)
• Demonstrated hands-on expertise with causal inference and Bayesian methods applied to real-world decision problems
• Proven experience implementing and maintaining model risk management frameworks in production environments
• Experience generating model cards and other structured documentation for models, including performance metrics and limitations
• Strong background in ethical AI concepts and techniques, including bias detection/mitigation and responsible AI governance
• Hands-on experience deploying and scaling models on cloud platforms and/or DoD data fabrics (e.g., enterprise data platforms, secure enclaves)
• Proficiency in at least one major programming language used for data science (e.g., Python, R) and modern ML tooling (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent)
• Strong communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders
• Occasional travel may be required to support stakeholder engagements, technical reviews, and on-site integration or testing activities
• Relevant cloud architect or ML specialty certification (e.g., AWS, Azure, or other major cloud provider)
• CompTIA Security+ certification
• ITIL Foundation certification (preferred)
• Experience working with QASP-driven contracts and defining/monitoring AQLs for analytics or IT services
• Familiarity with DoD cybersecurity frameworks, RMF, and secure DevSecOps practices
• Prior experience supporting Air Force, joint, or combatant command–level analytics, or similar high-visibility federal programs

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