TRUMPF is hiring an R&D Machine Analytics professional to build data pipelines, analytical models, and internal tools that turn machine and process data into reliable monitoring, diagnosis, and technical support solutions. The role collaborates with service, R&D, and testing teams to improve troubleshooting and decision-making.
What you’ll do
Develop internal applications, data pipelines, and analytical models
Transform machine, sensor, and process data into tools for monitoring, diagnosis, and technical support
Collaborate with service, R&D, testing, and other teams
Support improved troubleshooting and decision-making through data analytics
What you’ll need
3+ years of experience developing data-intensive applications, analytics solutions, data pipelines, or related technical solutions
Strong Python and SQL/T-SQL skills with relational databases, ETL, data integration, optimization, data quality, and large or multi-source datasets
Experience applying statistical analysis, machine learning, predictive modeling, anomaly detection, time-series analysis, forecasting, and data visualization
Experience developing web-based, cloud, and containerized applications using technologies such as Flask, FastAPI, React, Azure, PySpark, or Databricks, with DevOps and CI/CD practices
Experience with industrial IoT data, predictive analytics, or BI tools such as Power BI or Tableau
Experience applying generative AI/LLMs to software development, data analysis, technical support, or business applications
Original job description
TRUMPF, Inc. is hiring an R&D Machine Analytics professional to turn machine, sensor, and process data into reliable tools for monitoring, diagnosis, and technical support. The role develops internal applications, data pipelines, and analytical models, collaborating with service, R&D, testing, and other teams to improve troubleshooting and decision-making.…