Senior Data Scientist, Field Quality: Predictive EVs

Socket.dev; Phoenix, Northern (AZ, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

Life and disability insurance

Paid time off

Paid holidays

401(k) plan

Equity program

Job summary

Lucid Motors in Arizona is seeking a Senior Data Scientist, Field Quality to own predictive quality models and scalable data solutions. This role connects warranty, service, reliability, product engineering, manufacturing, and data engineering teams to detect issues earlier and drive data-driven decisions.

You will build repeatable analytics, establish data pipelines with Data Engineering, and translate insights into concrete actions that improve fleet health and reduce warranty exposure across

Qualifications

• 5 years of experience in data science, machine learning, or reliability analytics.
• Bachelor’s degree in a related technical field.0
• Proficiency in Python, SQL and common data science libraries.
• Experience developing, validating, and deploying ML models on large datasets.
• Excellent English communication and cross-functional collaboration.

Responsibilities

• Develop and refine predictive quality models to identify issues earlier.
• Create risk modeling frameworks for warranty exposure and reliability.
• Lead data-driven root cause investigations using warranty and telematics data.
• Build automated dashboards, alerts, and model-driven workflows.
• Define, improve, and maintain reliable data pipelines with Data Engineering.
• Translate analytical findings into actionable quality reviews and plans.

Skills

Data Science

Machine Learning

Applied Statistics

Reliability Analytics

Python

SQL

Pandas

NumPy

Scikit-Learn

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics

Tools

Python

SQL

Pandas

NumPy

Scikit-Learn

Job description

Lucid Motors in Arizona is seeking a Senior Data Scientist, Field Quality to own predictive quality models and scalable data solutions. This role connects warranty, service, reliability, product engineering, manufacturing, and data engineering teams to detect issues earlier and drive data-driven decisions.

You will build repeatable analytics, establish data pipelines with Data Engineering, and translate insights into concrete actions that improve fleet health and reduce warranty exposure across