Data Science Engineer

Job Description

Job Description

Data Science Engineer

ABOUT OUR COMPANY : AMS is a leading nuclear engineering services company in Knoxville, TN specializing in instrumentation and control (I&C) system testing, training, and services. We provide the worldwide nuclear industry with products and services to measure I&C performance and verify compliance with technical specifications and regulatory requirements. AMS products and services cover a wide range from in-situ measurement of dynamic performance of I&C sensors to rod control system diagnostics, digital I&C equipment qualification, wireless technology implementation for equipment condition monitoring, cable testing, management of aging of critical plant equipment, online calibration monitoring of process sensors, computer-aided testing, and development of specialized data acquisition equipment and data analysis algorithms in support of reactor operation and maintenance. Be a part of our dynamic team!

OUR MISSION : To ensure the safe operation of the worldwide nuclear fleet through innovative testing services, engineering solutions, and data analysis.

POSITION TYPE : Full-time.

SALARY RANGE : $70,000 - $105,000 per year plus full package of benefits

JOB OVERVIEW

At AMS, Data Science Engineers turn complex nuclear plant data into actionable insights that improve safety, reliability, and performance. You will work with large time-series datasets from plant instrumentation, applying statistical, signal-processing, and machine learning techniques to detect trends, identify anomalies, and support diagnostics. Working alongside engineers and data analysts, you will develop automated tools, create clear visualizations, and communicate results that directly support our utility and internal customers.

DESIRED REQUIREMENTS

• A Bachelor or Master of Science degree in Data Science, Engineering, Computer Science, or related field.
• Strong skills in Python for statistical modeling and machine learning, regression, and clustering.
• Experience working with large time-series datasets and signal processing.
• Knowledge of data pipelines, automation, and database tools.
• Ability to communicate technical insights clearly to technical and non-technical audiences.
• Interest in applying advanced data science principles to nuclear power plant testing and monitoring.

RESPONSIBILITIES

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