Senior Data Scientist

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

About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our Compromise Nothing™ approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility.

About the Team

Field Quality helps Lucid turn real-world vehicle data into action that improves reliability, serviceability, and the customer experience. The team connects inputs from warranty claims, service repairs, telematics, diagnostic logs, customer feedback, and vehicle usage to identify patterns, prioritize risks, and guide corrective action. What makes this team unique is its position at the intersection of data science, engineering, service operations, and manufacturing, where insights directly influence vehicle quality decisions. By building scalable analytics and predictive capabilities, the team helps Lucid address quality concerns earlier and strengthen long-term vehicle performance.

About the Role

As a Senior Data Scientist, Field Quality, you will report to a Field Quality leadership role and own the development of predictive models, analytical frameworks, and scalable data solutions that help Lucid identify and resolve vehicle quality issues sooner. This role exists to close the gap between high-volume field data and timely, data-driven quality decisions across warranty, service, reliability, product engineering, manufacturing, and data engineering teams. In your first 12 months, you will deliver predictive quality models, establish repeatable analytics for risk-based prioritization, and enable faster decisions that improve vehicle reliability and reduce warranty exposure. Success will be measured by earlier issue detection, improved prioritization of corrective actions, stronger visibility into fleet health, and adoption of your analytics by cross-functional stakeholders. A strong candidate will gain the opportunity to build Field Quality analytics capabilities in a growing EV environment where their models can directly connect customer experience to engineering action.

What You Own

• Predictive Quality: Build and refine statistical and machine learning models that identify emerging quality concerns earlier and help teams prioritize action before issues scale across the field.


• Risk Modeling: Create frameworks that quantify warranty exposure, failure risk, component reliability, and customer impact so engineering teams can make resource decisions based on technical and business risk.


• Root Cause Insights: Lead data-driven investigations using warranty, service, telematics, and diagnostic data to identify patterns, validate hypotheses, and support root cause determination.


• Automation: Develop automated dashboards, alerts, tools, and model-driven workflows that improve fleet health monitoring, issue detection, and quality performance visibility.


• Data Readiness: Partner with Data Engineering to define, improve, and maintain reliable data pipelines that support accurate, scalable, and business-critical Field Quality analytics.


• Decision Support: Translate complex analytical findings into clear recommendations that inform quality reviews, escalation decisions, corrective action prioritization, and strategic planning.


• Methodology Standards: Establish modeling approaches, statistical standards, and best practices that strengthen data-driven decision making across the Field Quality organization.

What You Bring

• 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, including understanding work instructions, safety procedures, and job-related communications.

Preferred Qualifications

• 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.

Physical Requirements

• Office and Computer Work: Ability to work at a computer for extended periods while reviewing data, developing models, preparing analyses, and communicating findings.


• Communication: Ability to participate in meetings, present analytical findings, and exchange information with cross-functional stakeholders in office, manufacturing, and service-related settings.


• Manufacturing Environment: Ability to safely access office, lab, service, or manufacturing areas as needed and follow site safety requirements.


• PPE Expectations: Must wear required PPE, such as safety shoes, eye protection, hearing protection, gloves, or other protective equipment, as required by company safety standards.

Work Requirement

This role is fully onsite at Lucid’s Arizona Manufacturing Facilities and Offices. Daily in-person presence is required.

Equal Employment Opportunity

Lucid Motors is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sex, sexual orientation, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. At Lucid, we don’t just welcome diversity — we celebrate the differences that make up our team.

Compensation & Benefits

Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.

Equal Opportunity

At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.

Accessibility

Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.

Candidate Data Privacy

By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice.