Senior Data Scientist

Senior Data Scientist

APPLIED TECHNICAL SERVICES LLC - 3.5

Marietta, GA Job Details Full-time $205,000 - $215,000 a year 1 day ago Qualifications Image processing Signal processing Non-destructive testing Application deployment Master's degree Outlier detection Model deployment Simulation systems Machine learning libraries AI Machine learning frameworks Technical Proficiency Cloud services Full Job Description 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 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 Minimum 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