Data Analytics Engineer

ROLES 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 2+ 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 Exposure to Vehicle communication protocols (CAN, Ethernet), Embedded debugging (logs, traces, signal analysis) and MATLAB, basic C/C++, or signal processing Familiarity with Automotive tools such as CANalyzer or CANoe, SIL (Software in the Loop) or simulation environments, Agile / Scrum development practices Traits We Seek

Curious and analytical mindset with strong problem‑solving skills Hands‑on learner who enjoys working with real systems and data Structured and detail‑oriented approach to analysis Collaborative team player open to feedback and mentorship Resilient and growth‑focused, viewing challenges as learning opportunities

Why Join Aptiv

You grow at Aptiv.

Aptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.

You make an impact at Aptiv.

One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day.

You have support at Aptiv.

We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.

Your Benefits

Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development); Life and accident insurance; Sodexo cards for food and beverages Well Being Program that includes regular workshops and networking events; EAP Employee Assistance; Access to fitness clubs (T&C apply); Creche facility for working parents