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Hyundai Motor Company

Global automaker producing sedans, SUVs, EVs

OBD Fleet Durability Analytics Engineer

Data ScienceConfirmed live in the last 24 hours
Full-timeSuperior Township, MI, USANo salary listed

About the Job

Requirements

  • A Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related discipline.
  • At least 2 years of experience in powertrain calibration, emissions development, OBD-II calibration, or system validation.
  • Proficiency in Python for data analysis or equivalent programming experience, including Pandas, NumPy, and SciPy.
  • Working knowledge of automotive communication protocols such as CAN and LIN.
  • Experience with vehicle calibration tools such as ETAS INCA, MDA, or similar platforms.
  • Knowledge of propulsion system fundamentals, including hybrid powertrain operation.
  • Familiarity with emissions and OBD regulatory frameworks, including EPA and CARB.
  • Experience conducting or supporting emissions testing, OBD monitor development, or vehicle test procedures.
  • Strong verbal, written, and interpersonal communication skills.
  • A valid driver's license and a satisfactory driving record.

Responsibilities

  • Lead data analytics activities for engine management and OBD systems using second-by-second vehicle data collected from long-term fleet testing.
  • Develop and execute statistical analysis plans to extract trends, detect anomalies, and identify correlations between operating conditions and system performance degradation.
  • Perform predictive analytics modeling to forecast potential failures and validate the effectiveness of OBD diagnostic monitors during extended durability testing.
  • Set up instrumentation and monitor fleet vehicles to ensure accurate data acquisition from data loggers (XCP/CAN), reliable test execution, and data integrity.
  • Analyze multivariate time-series data using Python, MATLAB, or similar tools to perform root cause analysis on high-occurrence issues and calibration weaknesses.
  • Conduct data-driven investigations using statistical hypothesis testing and cross-functional collaboration to evaluate diagnostic trouble codes (DTCs) and OBD monitor robustness.
  • Support fleet operation activities, including calibration updates, software flashing, diagnostic evaluation, and instrumentation troubleshooting.
  • Prepare technical visualizations and dashboards to communicate data findings, trends, and actionable recommendations to calibration engineers and engineering leadership.
  • Validate aftertreatment durability and regulatory compliance through analysis of emissions testing data at defined mileage intervals.
  • Evaluate emerging data analytics technologies that support enhanced OBD validation, predictive maintenance capabilities, and compliance with evolving emissions regulations.
  • Manage fleet data governance, including database administration, parameter definition validation, signal quality assurance, and test data archival.
  • Plan, coordinate, and track analytics project activities to ensure timely, high-quality execution aligned with program milestones.
  • Travel up to 15% domestically and internationally.

Desired Qualifications

  • A Master of Science degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • At least 5 years of experience in emissions development, OBD calibration, and vehicle validation.
  • Advanced data analysis proficiency with MATLAB/Simulink, Python (Pandas, Scikit-learn, SciPy), or SQL.
  • Experience validating OBD-II features for mass-production launch or durability programs.
  • Hands-on experience with fleet data analysis or long-duration time-series data from vehicle testing.
  • Familiarity with statistical methods for automotive applications, including trend analysis, anomaly detection, and multivariate analysis.
  • Experience with data visualization tools such as Power BI, Tableau, or advanced Matplotlib/Plotly dashboards.
  • Knowledge of machine learning fundamentals, including predictive modeling, classification algorithms, or anomaly detection.
  • Experience with XCP/CAN data acquisition systems and automotive diagnostic databases (ODX).
  • Cross-functional collaboration experience working with calibration engineers, test engineers, and vehicle development teams.

About the Company

Hyundai Motor Company

Global automaker producing sedans, SUVs, EVs

Hyundai Motor Company is a global car maker that designs, manufactures, and sells a wide range of vehicles, including sedans, SUVs, and a growing number of electric vehicles. Its manufacturing is done in-house across a network of plants around the world, which helps manage production and the supply chain across markets such as North America, India, and Europe. The company plans to expand its EV lineup, aiming to launch 21 new electric models by 2030 to cover affordable to high-performance segments. Hyundai differentiates itself through its integrated global manufacturing approach, control over its supply chain, and a deliberate shift toward electrification under the “Hyundai Way,” backed by a strong U.S. presence since 1986. Its goal is to grow vehicle sales with a balanced mix of traditional and electric vehicles while becoming a leading supplier of EVs across multiple market segments.

Company size
10,001+
Company stage
IPO
Headquarters
Seoul, South Korea
Founded
1967

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