Develop tooling to enhance our working knowledge of control plane systems, services and tools leveraging existing and new data sources. Using data science to provide key business insights. Develop and enhance device telemetry, health monitoring, hardware health signal processing, and automated remediation workflows. Drive live-site excellence through monitoring, debugging, root cause analysis, repair loops, and continuous service reliability improvements. Collaborate with hardware, firmware, platform, and partner teams to deliver end-to-end solutions across hardware-software boundaries. Translate customer and production feedback into feature enhancements, bug fixes, reliability improvements, and supportability investments. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.