> Markdown version of [/jobs/ext/4600185-senior-data-science-analytics-specialist](https://www.wearedevelopers.com/jobs/ext/4600185-senior-data-science-analytics-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Science & Analytics Specialist - **Company:** TRINZIC CORP - **Location:** Dayton, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Information Technology, Data Analytics, Machine Learning Operations - **Published:** November 6, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3499578178&tx=UT6258THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's/ Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or related field. * Minimum 3 years of experience in data analytics, data science, artificial intelligence, machine learning, or related disciplines. * Demonstrated experience translating technical analytical concepts into business or mission-focused recommendations. * Experience working with large, complex, and diverse datasets. * Proficiency with data analytics and visualization tools (e.g., Python, R, SQL, Tableau, Power BI). * Knowledge of machine learning techniques, predictive analytics, and automation technologies. * Strong written and verbal communication skills, including executive-level briefing experience. * Ability to work effectively with both technical and non-technical stakeholders. * U.S. Citizenship required. * Active TS/SCI., * Master's degree in Data Science, Analytics, Computer Science, Engineering, or related discipline. * Experience supporting Department of Defense (DoD), Intelligence Community (IC), or federal government organizations. * Familiarity with cloud-based analytics platforms and MLOps frameworks. * Experience implementing AI/ML solutions in operational environments. * Professional certifications related to AI, Machine Learning, Data Analytics, or Cloud Technologies. ## Description We are seeking an experienced a Data Science & Analytics Specialist will support advanced analytical initiatives by translating highly complex data science capabilities into actionable insights and recommendations for non-technical stakeholders. The position focuses on leveraging Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning (ML) solutions to improve decision-making, streamline workflows, and accelerate analytical priorities across the organization, the Department of Defense (DoD), and the Intelligence Community (IC). The successful candidate will serve as a bridge between technical teams and mission stakeholders, ensuring advanced analytics capabilities are effectively integrated into operational workflows and strategic decision-making processes., Data Science Translation & Stakeholder Engagement * Translate highly complex data science concepts, methodologies, and analytical outputs into clear, actionable insights for senior leaders and non-technical stakeholders. * Develop executive-level briefings, decision-support products, and workflow recommendations based on advanced analytics findings. * Communicate technical risks, opportunities, and implementation considerations in business-focused language. IA/AI/ML Strategy Development * Support the development of Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning (ML) strategies and initiatives. * Identify opportunities to apply advanced analytics, automation, and machine learning techniques to enhance mission effectiveness and operational efficiency. * Recommend scalable IA/AI/ML solutions that address complex analytical challenges. Workflow Optimization & Implementation * Analyze complex datasets from multiple sources across the Center, DoD, and Intelligence Community. * Develop and implement data-driven workflow strategies that accelerate analytical priorities and improve operational outcomes. * Collaborate with stakeholders to evaluate current processes and integrate advanced analytical capabilities into mission workflows. * Assess performance metrics and continuously refine recommendations based on operational feedback and results. Reporting & Documentation * Prepare and deliver a Monthly Data Science & Analytics Progress Report that: * Documents progress against assigned objectives. * Summarizes data science and analytics activities completed during the reporting period. * Identifies opportunities for IA/AI/ML workflow improvements. * Provides actionable recommendations for stakeholders. * Highlights risks, dependencies, challenges, and mitigation strategies. * Tracks implementation status and performance outcomes. Collaboration & Advisory Support * Partner with technical and operational teams across the Center, DoD, and IC. * Provide subject matter expertise on data science, analytics, machine learning, and automation technologies. * Support leadership in prioritizing analytical initiatives and technology investments.