Senior Data Scientist, Field Quality & Predictive Analytics

Lucid Motors; Phoenix (AZ); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Paid time off

401(k) retirement plan

Job summary

Lucid Motors in Arizona seeks a Senior Data Scientist, Field Quality to lead predictive quality modeling and risk frameworks spanning warranty, service, reliability, and manufacturing. You will own scalable analytics, deliver earlier issue detection, and enable cross-functional decisions that improve fleet performance.

The role is fully onsite at Lucid’s Arizona facilities, requiring strong communication and a proven ability to implement model-driven insights in a high-growth EV environment.

Qualifications

• 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.

Responsibilities

• Build and refine statistical and machine learning models that identify emerging quality concerns earlier.
• Create frameworks that quantify warranty exposure, failure risk, component reliability, and customer impact.
• Lead data-driven investigations using warranty, service, telematics, and diagnostic data to identify patterns and hypothesis validation.
• Develop automated dashboards, alerts, tools, and model-driven workflows that improve fleet health monitoring and visibility.
• Partner with Data Engineering to define, improve, and maintain reliable data pipelines supporting Field Quality analytics.
• Translate analytical findings into clear recommendations informing quality reviews and action prioritization.
• Establish modeling approaches and best practices to strengthen data-driven decision making across Field Quality.

Skills

Python

SQL

Statistical Modeling

Pandas

NumPy

Scikit-Learn

Machine Learning

English Proficiency

Education

Bachelor’s degree in Data Science

Statistics

Computer Science

Tools

Airflow

Databricks

Spark

Snowflake

Tableau

Power BI

Cloud Platforms

Job description

Lucid Motors in Arizona seeks a Senior Data Scientist, Field Quality to lead predictive quality modeling and risk frameworks spanning warranty, service, reliability, and manufacturing. You will own scalable analytics, deliver earlier issue detection, and enable cross-functional decisions that improve fleet performance.

The role is fully onsite at Lucid’s Arizona facilities, requiring strong communication and a proven ability to implement model-driven insights in a high-growth EV environment.