Senior Data Scientist
Core
Develop scientifically rigorous mathematical and statistical methodologies to transform automotive sensor and test data into actionable engineering insights.
Role type
Senior Data Scientist (Signal Processing & Engineering Analytics)
Builds
Reliable engineering metrics, analytical models, and interpretable outputs for vehicle development and testing.
Domain
Automotive engineering, sensor data analysis, signal processing
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced Python (NumPy, Pandas, SciPy), Applied mathematics, Statistics, Digital Signal Processing (DSP), Time-series analytics, Multivariate analysis, Anomaly detection, High-frequency sensor data handling
Preferred skills
Automotive testing, Vehicle dynamics, NVH, Durability engineering, CAN-based telemetry, MATLAB/Simulink, Machine Learning concepts
Technologies
Python, NumPy, Pandas, SciPy, MATLAB, Simulink
Responsibilities
Analyze multivariate vehicle sensor and telemetry datasets; Develop mathematical models for signal processing and trend analysis; Design algorithms for feature extraction and time-series analytics; Define methodologies for comparing test runs and vehicle configurations; Perform time-domain and frequency-domain analysis; Develop derived engineering metrics and performance indicators; Validate analytical models against reference datasets; Collaborate with Data Engineers to operationalize pipelines; Document methodologies and validation results.
Seniority
Senior, hands-on IC