Your Role
Sr. 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
- 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
- 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
Meet the Next-Generation Aptiv
At Aptiv, we deliver innovative solutions that people trust when it matters most.
Progress is never static. It is about reaching further, exploring new possibilities, and enabling mobility. Aptiv empowers customers to create solutions people rely on—advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications. We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.
Guided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.
Join Us to Deliver Innovative Solutions That People Trust!
#LI-PP2
Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
Skills Required
- Bachelor's or Master's degree in Data Science, Computer Engineering, Electrical or Embedded Systems Engineering, Automotive Engineering, Systems Engineering, or a related field
- 6 to 8 years of relevant experience
- Proficiency in Python
- Experience with vehicle communication protocols, including CAN and Ethernet
- Experience with data science tools and analytics
- Familiarity with MATLAB, machine-learning algorithms, SQL, and Linux
- Hands-on experience with vehicle instrumentation
- Proficiency in structured problem solving
- Understanding of embedded-systems fundamentals, including ECUs, signals, and logs
- Academic or project experience in AI, machine learning, ADAS, autonomous-driving systems, or vehicle data analytics
- Experience with embedded debugging, logs, traces, signal analysis, MATLAB, basic C or C++, or signal processing
- Familiarity with CANalyzer, CANoe, SIL or simulation environments, and Agile or Scrum practices
APTIV Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APTIV and has not been reviewed or approved by APTIV.
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Retirement Support — A 401(k) plan with company contribution and competitive matching is described as a notable component of the total rewards package. Equity participation and performance bonuses are also positioned as part of long-term and variable compensation.
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Healthcare Strength — Core coverage is portrayed as broad, spanning medical, dental, vision, life, and disability insurance. Mental health resources and an Employee Assistance Program are also included as part of wellness support.
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Leave & Time Off Breadth — Paid holidays, paid sick days, and flexible time-off policies are included in the benefits mix. Flexible scheduling and remote-work programs further support time management and personal needs.
APTIV Insights
What We Do
Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. #ItsOurMove
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