Cyber Data Scientist

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Hunter Strategy

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

Cybersecurity • Cloud Computing • Software Development

Hunter Strategy is a company focused on supporting mission partners in overcoming complex challenges in software engineering, cloud operations, and cyber risk. The company emphasizes the importance of IT as critical infrastructure and collaborates closely with technology and delivery partners to ensure long-term success. Hunter Strategy specializes in cloud engineering, DevSecOps, agile app development, and cybersecurity, providing services like software factory support, risk management, application security, and pen testing. The company is also experienced in compliance and authorization processes, helping clients navigate FedRamp and related requirements. As a HUBZone company, Hunter Strategy is committed to investing in its employees, communities, and partners, offering competitive salaries and wide-ranging benefits.

📋 Description

• Develop and deploy analytical models on data and processes to generate insights, support automation, and improve decision-making. • Collaborate with digital product teams and internal stakeholders to shape, enable, and migrate production workflows. • Apply statistics, artificial intelligence, and machine learning techniques to large data sets. • Use multiple programming languages and data transformation tools to support model development and analysis. • Work with databases, data structures, and data architectures to support scalable analytical solutions. • Create visualizations, presentations, and clear quantitative summaries for technical and non-technical audiences. • Explore and adopt new technologies provided by IT engineering and cybersecurity teams. • Work independently with limited supervision while maintaining strong attention to detail and effective team collaboration. • Mentor junior cyber data scientists.

🎯 Requirements

• Bachelor’s degree and six (6) years of experience in the data science field; four additional years of related experience may substitute for the degree. • Proficiency in mathematical modeling, including theory, modeling and identification strategies, and limitations or pitfalls. • Experience with relational database management systems and open-source frameworks. • Experience with machine learning or artificial intelligence. • Familiarity with the Risk Management Framework (RMF) process.