Data Analytics Engineer – Data Mining & Analysis Team

Aptiv's advanced safety and user experience business unit is dedicated to creating innovative solutions that enhance the safety and convenience of vehicle systems. As a Data Analytics Engineer, you will play a critical role in designing and developing cutting-edge software systems that enable Aptiv's advanced safety and user experience solutions.

If you are looking for an exciting opportunity to work on innovative software solutions that improve the safety and convenience of vehicle systems, we encourage you to apply for this Data Analytics Engineer position within Aptiv's advanced safety and user experience business unit.

Job Summary:

The role of Data Analytics Engineer is to ensure value comes out of all the data projects of L0- L2/L2+/L3 vehicles. Provide technical leadership of the project execution for a multidisciplinary team. Understand the technical aspects of project, with support from team. Lead problem solving activities for the team to address vehicle data collection, data mining and breakdown of reported issues. Work closely with Project Manager and Engineer Team Manager for successful ADAS project execution.

Your Role:

• Responsible for to develop a vision of what the data science team wants to achieve, together with a strategy to get there.
• Responsible for managing a team of data analysis with event extraction for customer reported events.
• Lead the team on vehicle testing and data collection to use the data for algorithm validation and triage.
• Coordinator communication from customer to multiple competency (algorithm development teams, other departments, suppliers and/or customers).
• Accountable for resource planning and team capability for data mining.
• Streamlines algorithm analysis, validation and SIL processes across OEM projects.
• Responsible for product deliverables and customer satisfaction - Schedule, Risks, Quality and Customer Commitments.
• Provides technical direction, resolve project issues and takes proactive actions to minimize risks for project deliverables.

Your Background

Key ingredients for succeeding in this role are your:

• Bachelor in Science degree in relevant Engineering area
• 1-2 years of experience in Data Science, Systems and Vehicle Testing and ADAS or Autonomous Driving system development
• Hands-on experience with vehicle instrumentation
• Proficient in Python, Vehicle Communication protocol – CAN, Ethernet, Data Science Tools
• Familiar with Matlab
• Proficient in structured problem solving

Preferred Qualifications:

• MS in relevant Engineering area
• Familiar with SIL and Data Validation testing
• Experience with analysis tools such as CANalyzer and CANoe
• Familiar with agile development process

Why join us?

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Private health care effective day 1 of employment
• Life and accident insurance
• Paid Time Off (Holidays, Vacation, Designated time off, Parental leave)
• Relocation assistance may be available
• Learning and development opportunities
• Discount programs with various manufacturers and retailers
• Recognition for innovation and excellence
• Opportunities to give back to the community
• Tuition Reimbursement
• Adoption Assistance
• Fertility Coverage

Apply today, and together let’s change tomorrow! 

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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.