R&D Machine Analytics Engineer — Predictive Insights

TRUMPF; Town of Farmington (WI); On-site; USD 110,000 - 150,000; Full time

Job summary

TRUMPF, a family-run, high-tech company, seeks a R&D Machine Analysist to transform machine data into practical tools for service and engineering teams. You will develop data-driven products, dashboards, APIs, and ETL pipelines while validating models for condition assessment, anomaly detection, and forecasting.

Collaboration with multiple teams is essential. The role emphasizes Python, SQL/T-SQL, and modern data technologies, with experience in web apps, cloud, and containerized environments.

Qualifications

• 3+ years building data-intensive applications and analytics solutions.
• Strong Python and SQL/T-SQL experience with large or multi-source datasets.
• Experience with statistical analysis, machine learning, forecasting, and data visualization.

Responsibilities

• Develop and maintain internal web apps, dashboards, APIs, and data pipelines.
• Analyze machine, sensor, and process data to diagnose issues and support monitoring.
• Build, validate, and maintain ML models for condition assessment and forecasting.
• Translate analytical findings into actionable recommendations for stakeholders.
• Collaborate with service, R&D, testing, and product teams to deliver solutions.

Skills

Python

SQL/T-SQL

Flask

FastAPI

React

Azure

PySpark

Databricks

Power BI

Tableau

DevOps

CI/CD

Education

Bachelor's degree in Computer Science or related

Tools

Flask

FastAPI

React

Azure

PySpark

Databricks

Power BI

Tableau

Job description

TRUMPF, a family-run, high-tech company, seeks a R&D Machine Analysist to transform machine data into practical tools for service and engineering teams. You will develop data-driven products, dashboards, APIs, and ETL pipelines while validating models for condition assessment, anomaly detection, and forecasting.

Collaboration with multiple teams is essential. The role emphasizes Python, SQL/T-SQL, and modern data technologies, with experience in web apps, cloud, and containerized environments.