or apply directly on Lucid Motors's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Lucid Motors's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- No 4% of Lucid Motors's roles list one
- Ghost-job risk at Lucid Motors
- low 0 stale, 11 reposted of 338 open
- Hiring momentum
- 545 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Lucid Motors's own greenhouse board since 2026-08-03. Full hiring picture for Lucid Motors.
About this role
As a Senior Data Scientist in Field Quality at Lucid, you will develop predictive models and analytical frameworks to identify and resolve vehicle quality issues. Your work will involve analyzing high-volume field data to support decision-making across various teams, including warranty, service, and engineering. You will also automate dashboards and tools to enhance fleet health monitoring and improve vehicle reliability.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lucid Motors as an employer.
What you need
- 5 years of experience in data science, machine learning, applied statistics, reliability analytics, or a related quantitative discipline.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related technical field.
- Proficiency in Python, SQL, statistical modeling, and common data science libraries such as Pandas, NumPy, and Scikit-Learn.
- Experience developing, validating, and deploying statistical or machine learning models using large, complex datasets.
- Ability to read, write, speak, and understand English sufficiently to perform the essential duties of the position.
Nice to have
- Experience analyzing automotive warranty, quality, reliability, service, telematics, or connected vehicle data.
- Familiarity with warranty forecasting, survival analysis, cost-per-vehicle modeling, fleet health monitoring, or anomaly detection.
- Experience with Airflow, Databricks, Spark, Snowflake, Tableau, Power BI, or cloud-based data ecosystems.
- Knowledge of vehicle diagnostic data, DTCs, CAN signals, OTA systems, EV technologies, or reliability engineering methodologies.
- Experience supporting root cause investigations, corrective action effectiveness evaluations, or quality management systems in automotive, aerospace, manufacturing, or another regulated environment.
What you get
- Comprehensive and competitive benefits package including medical, dental, and vision insurance.
- Life and disability coverage.
- Paid time off and paid holidays.
- Paid sick leave.
- 401(k) retirement plan.
- Eligible employees may participate in Lucid’s equity program and/or a discretionary annual cash incentive program.
Worth weighing
- This role requires full onsite presence at Lucid’s Arizona Manufacturing Facilities and Offices, which may not suit all candidates.
- The position involves significant interaction with cross-functional teams, which may require strong communication skills and adaptability to various environments.
- The focus on predictive modeling and analytics in a growing EV environment suggests a potentially fast-paced and evolving work context.
Summarised from Lucid Motors's posting. Read the full original.
Listed by Lucid Motors on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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