Senior Data Scientist

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Global Radiance Review

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2019

📱 Mídia

📚 Educação

🤝 B2B

Media • Education • B2B

Global Radiance Review é uma rede confiável, online e impressa, para profissionais de negócios e tecnologia, conectando executivos de nível C, gerentes de TI e outros líderes do setor. Foca em compartilhar insights, lições aprendidas e estratégias inovadoras através de artigos que cobrem uma ampla gama de tópicos, incluindo tendências tecnológicas, branding e tomada de decisões executivas em vários setores.

Descrição

• Lead the design, development, validation, and deployment of machine learning and AI solutions • Conduct applied research and develop analytical approaches to solve complex mission challenges • Design and execute studies using large-scale structured and unstructured datasets • Develop statistical models, predictive analytics solutions, and advanced analytical methodologies • Advise program leadership on technical strategies, emerging technologies, and analytical best practices • Deliver analytical findings through reports, visualizations, dashboards, and executive briefings • Lead model validation, quality assurance, and technical review activities • Mentor data scientists and analysts while providing technical leadership across project teams • Collaborate with stakeholders to identify mission gaps and data-driven solutions • Support strategic planning and capability development initiatives • Participate in Agile development activities and cross-functional team collaboration

🎯 Requisitos

• Master's Degree or Ph.D. in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative discipline • Ten (10) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines • Seven (7) years of direct machine learning experience • Experience developing and deploying machine learning models in production environments • Experience leading technical teams and advanced analytics initiatives • Experience working with large-scale datasets and complex analytical problems • Experience presenting technical findings to executive and stakeholder audiences • Expertise in machine learning, artificial intelligence, statistical modeling, and data mining • Strong understanding of model validation and analytical evaluation techniques • Ability to communicate complex technical concepts to technical and non-technical audiences

🏖️ Benefícios

• 100% Employee-Owned (ESOP) • Remote Work Flexibility • Meaningful National Security Mission • Career Growth and Leadership Opportunities • Exposure to Advanced AI and Analytics Technologies • Collaborative and Innovative Culture • Professional Development Opportunities • Competitive Compensation and Benefits