Data Science and Business Intelligence Generalist III (L5)

Inside the Role

This role is responsible for developing new innovative tools within the Palantir Quality Management Operating System (QMOS) to monitor vehicle telematic data to identify early warning signals to proactively mitigate customer risks and support our field engineers. The position will focus on the new engine and aftertreatment system product launch by providing advanced data analytics dashboards that support the cross-functional team for problem-solving complex issues.

The ideal candidate has experience developing data pipelines, analytics applications, and interactive dashboards to support business intelligence, reliability analysis, and risk assessments. This role will involve working in a modern cloud-based analytics platform, making it a great opportunity for someone eager to grow their skills in Artificial Intelligence engineering, machine learning, advanced statistics and data visualization.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

• Typically requires a Bachelors Degree • Typically requires 5-7 years of relevant experience or 8 years of relevant experience in lieu of degree • Requires in-depth knowledge and expertise in job field and working knowledge of related disciplines • Uses analytical thought to independently solve complex problems with minimal guidance and identify solutions • May lead team or department projects or work streams within broader projects • Acts as an advisor to management and key external stakeholders on job field related projects • Acts as a resource and guide for colleagues with less experience • Uses experience to contribute to standards in which others will operate

What You Drive at DTNA

• Develop new data analytics tools for fault code, software, and diagnostics failure analysis in the Palantir Quality Management Operating System (QMOS).
• Use Artificial Intelligence and machine learning to analyze large datasets to assess the overall performance of business segments.
• Development and implementation of new predictive failure analytics model in Palantir Quality Management Operating System (QMOS) using statistical methods such as Weibull analysis and regression techniques.
• Design, build, and maintain Palantir Foundry applications using Quiver, Contour, and Workshop to enable scalable analytics and decision-making that can be rolled out to field team members.
• Create interactive dashboards and visualizations that effectively communicate complex relationships, trends, and insights.
• Collaborate with Quality Management teams, engineers, and business stakeholders to develop metrics, performance KPIs, and analytical models.
• Support the product development cycle by providing lessons learned as input to the next releases.
• Lead the Integrated Change Management (ICM) review and response for all software systems and electronic component ICMs for the global Powertrain quality organization.
• Lead and Mentor the other team members on problem-solving fault code, software, and electronic/mechatronic issues
• Analyze and interpret CAN data using CANape, DiagnosticLink, and CAN log files to diagnose complex system-level failures.
• Perform hands-on debugging, testing, and validation of engine and aftertreatment software and electrical systems, including ECUs, wire harnesses, sensors, electromechanical components, and embedded systems.

Knowledge You Should Bring

• Bachelor's Degree in Engineering, Engineering Technology, Data Science, or another related field.
• 6+ years of experience in automotive quality, reliability engineering, or data analytics.
• 3+ years of hands-on experience debugging and testing automotive electrical and electronic systems in an OEM environment.
• 3+ years of experience developing failure prediction and reliability models using Weibull analysis, regression analysis, or similar statistical techniques.
• 2+ years of experience working with Online Warranty Link (OWL) and Quality Management Operating System (QMOS).
• 2+ years of experience working with Detroit service systems including Sales Force, DTNA Connect, Virtual Technician, Common Telematics Platform (CTP), Diagnostic Link and DDEC Reports.
• Deep understanding of vehicle/powertrain electrical architectures, ECUs, sensors, wiring harnesses, and embedded systems.
• Understanding of powertrain systems, interfaces, and operation fundamentals.
• Advanced proficiency with CAN analysis tools including CANape and DiagnosticLink, with strong experience reading and analyzing CAN logs.
• Strong profici