Data Scientist

Zantech is looking for a talented Data Scientist to contribute to the success of our upcoming Technical Infrastructure and Platform Support project for an On-Site role based out of Arlington, VA. The Data Scientist will play a crucial role in providing: + Data Acquisition, Analytics, and Governance Services (technical lead for all Task 3 work) + Cybersecurity and Information Assurance (Responsible AI / AI TRiSM, RLS/CLS-compliant model outputs) The Data Scientist serves as the technical lead, owning the strategy, design, and deployment of advanced analytical and AI/ML models. Extracts, transforms, and analyzes complex, multi-source data sets to generate actionable insight that informs workforce, logistics, and operational decision-making for leadership. Responsibilities include, but will not be limited to: + Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and dashboards in collaboration with stakeholders + Apply NLP, network analysis, and bibliometric analysis to S&T portfolio data + Support automated MLOps lifecycle management, including model registry, drift monitoring, and automated retraining triggers + Ensure AI/ML outputs comply with Responsible AI (RAI) governance and inherit Row-Level/Column-Level Security controls + Provide onboarding, training, and ongoing support to build a data-literate workforce Required Experience or Knowledge of the following technologies/functions: + Ten (10)+ years developing and deploying analytical models to address S&T or business requirements within a DoW organization + 10 years in data science (statistical analysis, predictive modeling, machine learning, algorithm development in Python, R, and SQL) + 10 years in data wrangling and batch/streaming pipeline development, integrating structured and unstructured sources; experience on at least 2 distinct projects applying NLP, network analysis, or bibliometric analysis to S&T portfolio data + 10 years using data visualization tools (Tableau, Power BI, matplotlib) + 5 years with big data and cloud-based analytics platforms + 5 years applying operational analytics to workforce, logistics, or readiness missions. + Skills Required: + Statistical analysis and predictive/prescriptive/descriptive/cognitive modeling + Python, R, SQL; ML/AI model development and MLOps lifecycle management + Natural Language Processing (NLP), network analysis, and bibliometric analysis of S&T data + Data visualization and stakeholder communication of analytical findings + Federal data governance and security frameworks (NIST SP 800-53, FISMA, DoD RMF) Required Education/Certifications: + Education Required: + Master’s degree in computer science, engineering, or a related discipline, and 10+ years of experience + BA/BS with 12+ years of experience is an accepted substitute, + Education Preferred: + Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field + Not specified + Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate) + Certifications Required: + Certifications Preferred: Required Security Clearance: + US Citizenship and the ability to obtain and maintain an active Secret or higher clearance, per contract requirements. “Outstanding Performance…Always!” Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do.

Zantech offers competitive compensation, strong benefits, and a vacation package, as well as a fast-paced and exciting work environment. Come join our team!