Data Science Engineer

We are seeking a Data Science Engineer to analyze complex instrumentation and control system data, detect trends and anomalies, and support engineering decisions. This role applies statistical, signal processing, and machine learning techniques to time-series data and develops tools to automate analysis and reporting. Core responsibilities: Develop and refine models to detect trends, anomalies, and equipment degradation Apply advanced statistical and machine learning techniques to time-series datasets Build automated pipelines for data processing, analysis, and reporting Collaborate with engineers and analysts to improve test methods and insights Translate complex analytical results into clear visualizations and actionable recommendations Research new diagnostic and monitoring technologies for instrumentation systems Compensation: $70,000 - $105,000 Requirements Qualifications: Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, or related field Experience working with large datasets, time-series analysis, and signal processing Proficiency in Python and machine learning/statistical modeling tools Strong analytical, problem-solving, and communication skills Ability to collaborate effectively with engineering teams Preferred Qualifications: Experience with industrial or safety-critical systems Familiarity with instrumentation and control system data Knowledge of data pipelines, automation tools, and database systems Experience visualizing and reporting complex technical data Benefits 4 weeks paid time off 401(k) with company match Health, dental, life, vision, and disability insurance Paid holidays Flexible hours