Senior Data Scientist (56500)

Job DetailsJob Location: MARIETTA OFFICE - MARIETTA, GA 30062Position Type: Full TimeSalary Range: $205,000.00 - $215,000.00 Salary/yearThe 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 datasets—such as time-series, imaging and process data—to 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

QualificationsMinimum Requirements/Qualifications


Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field (PhD preferred)
5–8+ 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