Data Scientist

Your Mission:

The Machine Learning & AI Engineering team is looking for a Data Scientist to independently deliver advanced analytics and machine learning solutions across quality and engineering domains.

This role focuses on strong technical execution, applied modeling, and cross‑functional collaboration to solve complex quality and engineering problems using established ML and AI approaches. The data scientist contributes to shared frameworks, experimentation practices, and reusable assets, while operating under the broader technical direction set by senior staff and internal stakeholders.

Key Responsibilities:

Advanced Analytics & Modeling:

• Design, develop, and deploy predictive and statistical models using vehicle and enterprise data.
• Apply advanced analytics and ML techniques to root cause analysis, quality improvement, and feature optimization.
• Support development of LLM based or ML driven solutions for engineering and quality use cases, leveraging existing architectures and patterns.

ML Systems & Data Platforms:

• Contribute to the evolution of shared ML frameworks, tooling, and best practices.
• Ensure models and analytics solutions are robust, explainable, and suitable for regulated automotive contexts.

Experimentation & Product Support:

• Support experimentation methodologies and platforms to enable safe and effective testing of software and product features.
• Analyze experimental results and translate findings into actionable recommendations for engineering and product teams.

Collaboration & Knowledge Sharing:

• Work closely with engineering, quality, and product partners to translate business problems into data science solutions.
• Clearly communicate analytical findings to both technical and non technical audiences.
• Document methodologies and contribute to centralized knowledge repositories.

Top Performers will be able to demonstrate:

• Successful delivery of analytics or ML solutions with a measurable impact on quality, cost, or customer experience.
• Strong problem-solving skills in ambiguous, data rich environments.
• Effective collaboration within cross functional teams.
• Clear, structured communication of technical insights and recommendations.
• Consistent application of sound statistical reasoning and modeling practices.

Basic Qualifications:

• Bachelor’s Degree required with technical focus (e.g. Data science, Statistics, CS, Physics, Engineering, etc.)  
• Minimum of 2 years of total experience in data-oriented advanced analytics/ machine learning
• Exceptional technical skills with Python/R, SQL for data analysis and experience in ML driven products
• Knowledge of advanced statistical and ML algorithms, experience in Root Cause Analysis is desirable
• Expert at deriving narrative from data and communicate the results effectively

Preferred Qualifications:

• Comprehensive experience with predictive and prescriptive modeling/ machine learning
• Understanding of ASPICE or similar development lifecycle standards.
• Experience in automotive, manufacturing, or quality‑focused analytics environments.