Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist (Field Quality)

• Focus: Predictive models and scalable analytics for vehicle quality using field, warranty, service, telematics, and diagnostic data

• Key outcomes: Earlier issue detection, risk-based prioritization, fleet health visibility, and adoption by cross-functional stakeholders

Description

Own the development of predictive quality models, analytical frameworks, and scalable data solutions that help identify and resolve vehicle quality issues sooner. You will create repeatable analytics for risk-based prioritization and enable faster, data-driven quality decisions across warranty, service, reliability, product engineering, manufacturing, and data engineering teams.

Responsibilities

• Build and refine statistical and machine learning models to detect emerging quality concerns early

• Create risk modeling frameworks for warranty exposure, failure risk, component reliability, and customer impact

• Lead data-driven investigations using warranty, service, telematics, and diagnostic data to validate hypotheses and support root cause determination

• Develop automated dashboards, alerts, tools, and model-driven workflows for fleet monitoring and issue detection

• Partner with Data Engineering to define and maintain reliable data pipelines for scalable Field Quality analytics

• Translate analytical findings into clear recommendations for quality reviews, escalation decisions, and corrective action prioritization

• Establish modeling approaches, statistical standards, and best practices for decision-making

Requirements

• 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

• English proficiency sufficient to understand work instructions and communicate analytical findings

Benefits

• Medical, dental, and vision insurance

• Life and disability coverage

• Paid time off, paid holidays, and paid sick leave

• 401(k) retirement plan

• Eligible employees may participate in an equity program and/or discretionary annual cash incentive

• Incentives and equity determined based on individual performance, role scope, market considerations, and company results