R&D Machine Analytics
Core
Transform large-scale machine status, sensor, and process data into practical tools for machine monitoring, condition assessment, and failure diagnosis to support technical service and engineering teams.
Role type
R&D Machine Analytics Engineer (Data Science & Software Engineering)
Builds
Internal web applications, dashboards, APIs, data pipelines, and predictive models for industrial machine monitoring.
Domain
Industrial manufacturing / Machine tools / Predictive Maintenance
Required skills
Python, SQL/T-SQL, Statistical modeling, Machine learning, Time-series analysis, Data visualization, Web application development, DevOps practices, ETL pipeline design
Preferred skills
Generative AI/LLMs application, Industrial IoT data experience, Power BI or Tableau, Knowledge of laser technology or machine tools
Technologies
Flask, FastAPI, React, Azure, PySpark, Databricks, T-SQL, Power BI, Tableau
Responsibilities
Develop and maintain internal web applications, dashboards, APIs, and data pipelines; Analyze machine and sensor data to diagnose issues and identify patterns; Develop and validate statistical and machine-learning models for anomaly detection and forecasting; Integrate analytical results into user-friendly tools for troubleshooting; Translate complex analytical findings into actionable recommendations for stakeholders.
Seniority
Mid-level, hands-on IC