Senior Network Analytics Engineer

Job summary

This senior position focuses on guiding optimization and modeling efforts to enhance planning and network design. The role involves defining problem structures, designing optimization models, and leading new capabilities from concept to implementation. Responsibilities include driving innovation, mentoring junior analysts, and ensuring that new methods lead to tangible improvements for decision-makers.

Qualifications

• Master’s degree or PhD in engineering, mathematics, computer science, or a related quantitative field with a focus on optimization or modeling.
• Proven experience in designing and deploying optimization models or decision support algorithms in operational settings.

Responsibilities

• Develop advanced optimization models and heuristics, taking them from concept to validated capabilities.
• Frame complex planning problems with clear mathematical formulations and success criteria.
• Create reusable modeling components that integrate with production data systems.
• Enhance existing optimization logic for better performance and scalability.
• Conduct structured experiments to validate model behavior with data.
• Communicate findings and recommendations effectively to stakeholders.
• Shape the innovation roadmap by identifying new application areas and accelerating promising concepts.
• Mentor junior analysts and improve standards in modeling practices.

Skills

• Expert-level Python programming, experience with C++ for performance-critical components, and strong SQL skills.
• Advanced knowledge of Operations Research, including Mixed Integer Programming and large-scale optimization techniques.
• Strong problem framing, algorithm design, and empirical validation skills.
• Proficient in Git and modern software engineering practices.

Education

• Master’s degree or PhD in a relevant quantitative field.

Tools

• Python, C++, SQL, Git, optimization software.