About the role
Product Engineer – Computer Science & Data Analytics role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
EquipmentOnsite
Key Responsibilities
- Data Analytics & Insights Develop analytics and diagnostics using large‑scale tool, sensor, and service data , including logs, time‑series, and event‑based data.
- Create health indicators, anomaly detection, and KPIs that directly improve MTTR, uptime, and service efficiency.
- Analyze fleet‑level trends to identify systemic reliability and performance issues .
- Edge AI & Smart Diagnostics Design and implement edge analytics and Edge AI solutions that run close to the source of data (on tools, robots, sensors, or local compute).
- Enable real‑time anomaly detection, early warning, and predictive diagnostics without dependence on continuous cloud connectivity.
- Support integration of Edge AI models into service platforms, collaborative robots, and smart sensor architectures.
Requirements
- Bachelor's degree (or higher) in Computer Science, Data Science, Software Engineering, or related field .
- Strong foundation in software development and data analytics .
- Experience working with large datasets, log analytics, or time‑series data .
- Proficiency in Python (or similar) for data processing and analysis.
- Understanding of distributed systems and data flows .
- Experience with Edge AI, embedded analytics, or smart sensor systems .