Data Science Engineer
Data Science Engineer
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USD 70000 - 105000
1 Vacancy
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: $70000 - $105000 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
- Build and refine models to detect trends anomalies and equipment degradation.
- Apply advanced statistical and machine learning techniques to time-series data.
- Develop automated tools for data processing analysis and reporting.
- Collaborate with engineers and analysts to improve test methods and insights.
- Translate complex results into clear visuals and reports for internal and external customers.
- Support research into new diagnostic and monitoring technologies.
Employment Type
Full-Time
