Data Scientist

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Global Radiance Review

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

📱 Media

📚 Education

🤝 B2B

Media • Education • B2B

Global Radiance Review is a trusted online and print network for business and technology professionals, connecting C-level executives, IT managers, and other industry leaders. It focuses on sharing insights, lessons learned, and innovative strategies through articles that cover a wide range of topics including technology trends, branding, and executive decision-making in various sectors.

📋 Description

• Apply statistical analysis, machine learning, and artificial intelligence techniques to solve complex business and mission challenges • Analyze large datasets to identify trends, patterns, anomalies, and operational insights • Develop predictive, prescriptive, and advanced analytical solutions • Design, build, evaluate, and refine machine learning models • Develop data visualizations, dashboards, and analytical products that communicate findings effectively • Transform raw data into actionable recommendations for stakeholders • Collaborate with customers to understand mission needs and operational requirements • Support enterprise analytics initiatives and decision-support capabilities • Participate in model validation, testing, and quality assurance activities • Provide technical leadership and mentoring within project teams • Participate in Agile development activities and cross-functional collaboration

🎯 Requirements

• Master's Degree or Ph.D. in: Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Artificial Intelligence or a related quantitative discipline • Six (6) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines • Three (3) years of direct machine learning experience • Experience working with large-scale structured and complex datasets • Experience developing predictive and prescriptive analytics solutions • Experience designing and implementing statistical and machine learning models • Experience supporting enterprise analytics and decision-support initiatives. • Expertise in data mining, statistical analysis, machine learning, artificial intelligence, and data visualization • Strong analytical, quantitative, and problem-solving skills • Ability to communicate analytical concepts and findings to technical and non-technical audiences • Ability to independently lead analytical efforts from concept through implementation

🏖️ Benefits

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