Data Analytics Engineer
Aptiv (company site, opens in a new tab)2+ yrsBengaluruOn-siteDirect career pageEst. 8–16 LPA
Posted 13h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Aptiv
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Aptiv you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead vehicle data mining and exploratory analysis using Python and data-science tools to identify anomalies and performance issues.
- Support AI/ML validation workflows for ADAS features, including dataset exploration, quality assessment, and troubleshooting data issues affecting ML models.
- Participate in embedded-level debugging, vehicle testing, instrumentation, and collaborate with cross-functional teams following ADAS development and validation processes.
Minimum Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Engineering, Electrical/Embedded Systems Engineering, Automotive or Systems Engineering.
- Minimum 2 years of relevant experience.
- Proficient in Python, vehicle communication protocols (CAN, Ethernet), data science tools, and hands-on vehicle instrumentation experience.
- Familiarity with MATLAB, machine learning algorithms, DBQL/SQL, Linux, and structured problem solving.
Ideal Candidate Profile
- Experience in vehicle data analytics with a strong understanding of embedded system fundamentals including ECU, signals, and logs.
- Ability to work on AI/ML model validation and root-cause analysis within ADAS or autonomous driving system contexts.
- Comfortable performing embedded debugging, vehicle communication trace analysis, and supporting vehicle testing and data collection under guidance.