Senior Data Scientist (56500)

The Senior Data Scientist applies advanced analytics statistics and machine learning and artificial intelligence to non-destructive testing (NDT) data and asset health data. This role focuses on extracting insight from complex industrial datasetssuch as time-series imaging and process datato improve quality reliability effectiveness and operational performance. The position is highly hands-on emphasizing model development validation deployment in industrial environments and code maintenance and therefore combines deep technical expertise with business acumen.

Responsibilities

• Perform numerical simulations using commercially available modelling software such as COMSOL and ES Beam Tool to support Sales exhibitions publications internal R&D and procedure development
• Improve technology readiness level (TRL) of an ATS proprietary ultrasonic inspection software package
• Develop deploy and maintain advanced analysis software of commercially available sensor solutions (e.g. vibration and temperature sensors) including data engineering tasks and data pipeline development
• Develop deploy and maintain digital signal & imaging processing applications for internal and external R&D
• Support the prototyping of ultrasonic immersion testing solutions with the development deployment and maintenance of operating and analysis applications
• Collaborate with cross-functional teams to determine application requirement specifications perform testing & integration and perform user acceptance testing
• Support the implementation of GitHub and JIRA for revision control and project management
• Communicate complex findings clearly to technical and non-technical audiences

Minimum Requirements/Qualifications

• Masters degree in Data Science Statistics Mathematics Computer Science Engineering or a related field (PhD preferred)
• 58 years of professional experience in data science analytics or applied machine learning
• Strong foundation in statistics probability theory machine learning and agentic AI
• Strong foundation in defect and anomaly detection digital signal & image processing and physics-based modelling
• High proficiency in Python (Pandas NumPy Scikit-learn PyTorch or TensorFlow)
• High proficiency in C/C
• High proficiency in numerical simulation software such as MATLAB COMSOL Multiphysics ES Beam Tool CIVA
• Proficiency in cloud and data/software platforms such as AWS MongoDB SQL GitHub or Jira
• Proficiency in non-destructive inspections (NDT/NDE) and asset health testing/condition monitoring
• Proven experience deploying models into production environments
• Excellent communication skills and ability to influence decisions with data