Senior Data Scientist – Predictive Maintenance & Vehicle Analytics

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Job Summary

We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL) for automotive applications.

Key Responsibilities

Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data.
Build machine learning and physics-informed models to analyze component health and degradation.
Process and analyze large datasets using Python, SQL, and cloud platforms.
Develop fault detection and anomaly detection solutions for vehicle systems.
Perform modeling and simulation using MATLAB/Simulink.
Collaborate with cross-functional teams to deploy solutions into production vehicles.
Support embedded software implementation in C++ environments.
Required Skills

Python
SQL
C++
Data Science & Machine Learning
MATLAB / Simulink
Algorithms & Statistical Analysis
Google Cloud Platform (GCP) or other cloud environments
Signal Processing (DSP)
Predictive Analytics & Prognostics
Required Qualifications

Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or related field.
4+ years of experience applying statistical and machine learning techniques.
3+ years of experience with Python and SQL.
Experience with predictive modeling, sensor data analysis, and vehicle diagnostics.
Strong analytical and problem-solving skills.
Preferred Qualifications

PhD in a related technical field.
Experience in Automotive, Connected Vehicle, EV, Controls, Robotics, or Prognostics & Health Management (PHM).
Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems.
Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.

By submitting your application, you acknowledge that recruiting technologies, including AI-assisted tools, may be used to support candidate evaluation, sourcing, matching, and communications. OpTech/GTech is an Equal Opportunity Employer (EOE), all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran