Lucid Motors
Company
Data Analyst II, Powertrain Data & Automation
Job Description
Description
We are seeking a highly motivated Data Analyst II to join the Powertrain Data & Automation team. This role will focus on data analytics and predictive modeling for Powertrain components to ensure reliability, performance, and fleet readiness for commercial ride-hailing deployment. The ideal candidate has a strong analytical mindset, solid experience with time-series data, and the ability to translate complex telemetry signals into actionable insights that drive engineering and operational decisions.
Responsibilities
Powertrain Root Cause Analytics
- Perform in-depth root cause analysis of Powertrain failures and performance deviations across Drive Unit, MPB, and Inverter systems.
- Leverage high-frequency telemetry, diagnostic trouble codes (DTCs), and EOL test data to isolate component-level issues.
- Build structured failure mode classification and statistical analysis frameworks to support engineering teams’ troubleshooting.
Fleet Health Monitoring Architecture
- Contribute to the design and implementation of end-to-end fleet health monitoring pipelines for the Uber Gravity fleet.
- Integrate real-time vehicle telemetry streams, signal processing, and anomaly detection models to enable proactive fault identification.
- Develop alerting and visualization dashboards to provide engineering and operations teams with actionable fleet health insights.
Data Modeling and Predictive Analytics
- Develop and deploy statistical and ML models (e.g., regression, time-series forecasting) to characterize Powertrain component degradation over time.
- Quantify failure probabilities, forecast performance drift, and support reliability growth plans and operational readiness.
Requirements
- Bachelor’s or Master’s degree in Data Science, Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, or related field.
- 3+ years of experience in data analytics, preferably in automotive, mobility, or related industries.
- Strong proficiency in Python (pandas, NumPy, scikit-learn) and SQL for data analysis and modeling.
- Experience working with large-scale time-series and telemetry datasets.
- Familiarity with data visualization tools (e.g., Power BI, Tableau, Plotly, Dash, or similar).
- Strong analytical skills and ability to translate complex data into clear insights and recommendations.
Preferred
- Experience with vehicle Powertrain systems (e.g., Drive Unit, Inverter, Battery, MPB).
- Knowledge of anomaly detection, signal processing, and predictive maintenance techniques.
- Familiarity with cloud data platforms (e.g., AWS, Databricks, Dremio) and version control (e.g., Git).
- Experience working in a cross-functional engineering environment.
Why Join Us?
- Be part of a high-impact team enabling the future of autonomous ride-hailing.
- Work with cutting-edge Powertrain technologies and real-world fleet data.
- Collaborate closely with vehicle design, manufacturing, reliability, and operations teams.
- Build scalable analytics pipelines and predictive models for a next-generation EV platform.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Lucid Motors
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