[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.ResponsibilitiesLead the end-to-end lifecycle of machine learning and statistical models, from problem framing and data acquisition through deployment, monitoring, and retirementDesign and implement models using causal inference and Bayesian methods to support high-impact operational and strategic decisionsDevelop and maintain model risk management practices, including validation, back-testing, performance thresholds, and issue remediationCreate and maintain model cards and other documentation that clearly describe model purpose, assumptions, limitations, performance, and governance controlsEmbed ethical AI principles into model design and usage, including fairness, transparency, explainability, and human-in-the-loop oversightArchitect and scale analytical solutions on DoD data fabrics and cloud environments, collaborating with cloud architects and engineering teamsDefine and track model and analytics performance against AQLs and QASP metrics; proactively recommend improvements to meet or exceed targetsPartner with security, infrastructure, and operations teams to ensure models comply with cybersecurity, data protection, and configuration management policiesProvide technical leadership and mentorship to junior data scientists and analysts, reviewing work products and promoting best practicesPrepare and deliver briefings, dashboards, and written reports that distill complex analytics into clear, actionable insights for senior leadersSupport proposal and capture efforts by contributing data science subject matter expertise and solution concepts as neededPerform other duties as assigned to support mission and contract requirementsSkillsActive Secret clearance; must be able to obtain and maintain a Top Secret clearance if required by the customer9–12 years of progressive experience in data science, machine learning, statistics, or a closely related field, including support to DoD or other U.S. government customersMaster'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 problemsProven experience implementing and maintaining model risk management frameworks in production environmentsExperience generating model cards and other structured documentation for models, including performance metrics and limitationsStrong background in ethical AI concepts and techniques, including bias detection/mitigation and responsible AI governanceHands-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 stakeholdersOccasional travel may be required to support stakeholder engagements, technical reviews, and on-site integration or testing activitiesRelevant cloud architect or ML specialty certification (e.g., AWS, Azure, or other major cloud provider)CompTIA Security+ certificationITIL Foundation certification (preferred)Experience working with QASP-driven contracts and defining/monitoring AQLs for analytics or IT servicesFamiliarity with DoD cybersecurity frameworks, RMF, and secure DevSecOps practicesPrior experience supporting Air Force, joint, or combatant command–level analytics, or similar high-visibility federal programsCompany OverviewDDC provides IT and Environmental Engineering solutions to commercial & Federal Companies. It was founded in 2004, and is headquartered in Scottsdale, Arizona, USA, with a workforce of 501-1000 employees. Its website is https://ddc-dine.com/.