Senior Data Analytics Engineer - Python, CAN, SQL,

Your RoleSr. Data Analytics EngineerROLES AND RESPONSIBILITIES

• Vehicle Data Mining & Analytics
• Lead DM&A Team for AWS/Azure/Other HPCs
• Perform vehicle data mining and exploratory analysis using Python and data-science tools.
• Support event extraction and triage for customer-reported and internal issues.
• Analyze vehicle signals and logs (CAN, Ethernet) to identify anomalies and performance concerns.
• Apply structured problem-solving techniques to support root-cause analysis.
• AI / Machine Learning Support
• Support AI/ML validation workflows for ADAS features, including; Dataset exploration and quality assessment, feature analysis and labeling support and review of basic ML performance metrics
• Assist in identifying data issues impacting ML model behavior (e.g., noise, missing signals, data drift).
• Build foundational understanding of how ML models interact with embedded ADAS systems.
• Embedded-Level Debugging & System Understanding
• Support embedded-level triage activities, like ECU log analysis, vehicle communication trace interpretation and Signal-to-algorithm correlation
• Assist in debugging issues that span vehicle sensors, embedded software, and analytics outputs.
• Learn ADAS system architecture and data flow from sensor → ECU → analytics → validation.
• Vehicle Testing & Data Collection
• Participate in hands-on vehicle testing and data collection under guidance of senior engineers.
• Support vehicle instrumentation, logging setup, and data validation.
• Help ensure collected data meets analysis and validation requirements.

Collaboration & Process Adherence

• Work closely with Algorithm development team, Systems and validation engineers and Project and engineering managers
• Follow established ADAS V-cycle development, validation, and documentation processes.
• Contribute to continuous improvement of data analysis tools and workflows.

Your Background

• Bachelor’s or Master’s degree in a relevant field, such as: Data Science, Computer Engineering, Electrical / Embedded Systems Engineering and Automotive or Systems Engineering
• 6 to 8 years Experience and proficient in Python, Vehicle Communication protocol – CAN, Ethernet, Data Science Tools with analytics
• Familiar with MATLAB, Machine Learning Algorithms, DBQL/SQL, Linux
• Hands-on experience with vehicle instrumentation
• Proficient in structured problem solving Internal
• Clear understating on Embedded systems fundamentals (ECUs, signals, logs)

Nice to Haves

• Academic or project experience in AI / Machine Learning, ADAS or autonomous driving systems and Vehicle data analytics