R&D Machine Analytics

As a family-run high-tech company with nearly 19000 employees at 71 locations worldwide we are looking for forward thinkers with unconventional ideas and drive to join our team. Our company culture which values collaboration and mutual trust creates the ideal framework for boldly trying new things and questioning the status quo. Our technologies inspire people to develop and produce things that are currently unimaginable. Whether lasers machine tools EUV or electronics - TRUMPF is building technological worlds for future generations. Are you ready for new challenges

The SCC Machine Analytics team transforms large-scale machine status sensor and process data into practical tools that help TRUMPF technical service and engineering teams understand machine conditions diagnose issues and make faster more confident decisions. As a R&D Machine Analysist you will combine software engineering data analytics statistical modeling and machine-learning expertise to develop reliable data-driven products for machine monitoring and technical support. You will build and maintain internal web applications dashboards APIs and data pipelines while developing and validating algorithms for condition assessment anomaly detection issue identification failure diagnosis and forecasting. This role requires close collaboration with technical service machine R&D testing and other business partners to translate real-world diagnostic challenges into dependable analytical solutions.

Duties & Responsibilities

• Develop and maintain internal web applications dashboards APIs data pipelines and analytics tools supporting technical service and engineering operations.
• Analyze machine sensor process and operational data to diagnose complex issues identify patterns and root causes and support machine monitoring.
• Develop validate and maintain statistical predictive and machine-learning models for condition assessment anomaly detection failure diagnosis and prediction time-series analysis and forecasting.
• Apply advanced statistical mathematical and analytical methods to derive actionable insights from structured and unstructured data.

• Design and implement efficient Python solutions while working with relational databases and T-SQL to deliver robust ETL pipelines seamless data integration optimized query performance and high-quality data management.

• Apply software-engineering and DevOps practices for testing version control deployment monitoring containerization and maintenance.
• Collaborate with technical service R&D testing product specialists and other stakeholders to translate diagnostic challenges into practical data-driven solutions.
• Integrate analytical results into user-friendly tools that improve troubleshooting and decision-making.

• Translate complex analytical findings and model performance metrics into clear actionable recommendations for technical and non-technical stakeholders.

• Proactively identify and resolve data analytical and implementation risks; work independently perform additional duties as needed and comply with applicable safety requirements.

Experience & Education

• 3 years of experience developing data-intensive applications analytics solutions data pipelines or related technical solutions.
• Strong Python and SQL/T-SQL skills with experience in 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 knowledge of DevOps and CI/CD practices.
• Experience with industrial IoT data predictive analytics and/or business-intelligence tools such as Power BI or Tableau.
• Experience applying generative AI/LLMs to software development data analysis technical support or business applications.
• Strong analytical problem-solving communication and collaboration skills with the ability to translate complex technical concepts into practical solutions and work independently.
• Knowledge of TRUMPF products machine tools laser technology or industrial manufacturing and German language skills are a plus
• Bachelors degree or equivalent work experience in Computer Science Computer Engineering Data Science Data Engineering Mathematics Statistics Business Analytics Economics Physics Engineering or a related discipline.
• A masters degree in a related technical field is preferred.

Pay & Benefits

• Retirement: 401(k) with generous company match

• Health & Wellness: Comprehensive medical dental and vision benefits with employer HSA contributions and 100% employer-paid vision premiums for employees and eligible dependents.

• Education Assistance: Tuition reimbursement and student loan guidance to support your continued learning

• Family Support: Paid family and parental leave programs plus comprehensive reproductive and family health resources

• Work-Life Balance: Paid time off available from day one plus 11 paid company holidays

• Income Protection: Company-paid life insurance at two times base salary along with short- and long-term disability coverage

• Additional Programs: Gym membership subsidy employee referral bonuses recognition awards and a scholarship program for employees children

Pay Range: $80686 - $138450

TRUMPF Inc. endeavors to make TRUMPF careers pages accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance in completing the applications process please contact our HR department at 860.255.6000 or at .This contact information is for accommodation requests only and can not be used to inquire about the status of application.

Qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status or other characteristics protected by law.