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Sr. Staff Data Scientist Machine Learning AI Qual
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Stellantis
Lake Angelus, MI (In Person)
Full-Time
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Job Description
About the
Machine learning systemsExperimentation platformsData science architectureAct as a trusted technical advisor to senior leadership on:
Model feasibilityTrade-offs (accuracy, scalability, cost, interpretability)Business impact of ML/AI initiativesInfluence roadmap decisions across engineering and product organizations Advanced Machine Learning & Statistical ModelingDevelop and deploy predictive, prescriptive, and causal models using:
Vehicle dataIoT sensor dataEnterprise datasetsApply advanced techniques including:
Statistical modelingMachine learning algorithmsDeep learning / neural networksLead root cause analysis for vehicle quality, performance, and system failuresDesign and build LLM-based systems and agentic AI solutions for engineering and quality use cases Data Science Platform & Scalable SystemsArchitect and guide development of large-scale distributed data and ML systemsBuild and scale analytics pipelines using Spark-based distributed processing frameworksLead ML model lifecycle management, including:
TrainingValidationDeploymentMonitoring in productionEnsure models and systems are:
ExplainableReliableProduction-readyCompliant with automotive/regulatory standards Experimentation & Product ImpactOwn and evolve the experimentation framework/platform for safe, scalable testing of vehicle and software featuresDesign statistically sound experiments (A/B tests and beyond)Translate experimental results into clear product and engineering decisionsDrive measurable business outcomes including:
Warranty cost reductionImproved product qualityEnhanced customer experienceRevenue-impacting insights Influence, Mentorship & Knowledge SharingMentor senior and mid-level data scientists, raising technical standards across the teamHelp teams with:
Problem formulationResearch designStatistical interpretationContribute to internal knowledge systems and external-facing technical content (e.g., blogs or papers)Serve as a cross-functional leader bridging engineering, product, and executive teams What Success Looks Like (Top Performers)Strong candidates will demonstrate:
Proven impact from deployed ML systems or production analytics productsQuantifiable improvements in:
Vehicle qualityWarranty reductionCustomer experience metricsAbility to influence technical strategy beyond their immediate teamStrong communication skills with executive and non-technical stakeholdersDemonstrated ability to turn complex analysis into business decisions and outcomes
Python (or R)SQLStrong foundation in:
Machine learning algorithmsStatistical modelingNeural networks / deep learningExperience building ML solutions on distributed systems (e.g., Spark)
Large Language Models (LLMs)Fine-tuning foundation modelsAgentic AI systemsExperience building ML solutions in engineering, automotive, propulsion, or battery systemsStrong understanding of vehicle quality (QA), reliability, or manufacturing analyticsExperience working in high-scale enterprise or regulated environmentsAbout the
Machine learning systemsExperimentation platformsData science architectureAct as a trusted technical advisor to senior leadership on:
Model feasibilityTrade-offs (accuracy, scalability, cost, interpretability)Business impact of ML/AI... For full info follow application link. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
Role:
We are looking for a Senior Staff Data Scientist (ML/AI) to serve as a technical leader, architect, and individual contributor within the Machine Learning & AI Engineering team at Stellantis. This role sits at the intersection of machine learning, advanced analytics, experimentation, and large-scale vehicle/IoT data systems. You will define and influence how ML and AI are used across vehicle quality, engineering systems, and customer experience outcomes. This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement.What You Will Do:
Technical Leadership & ML Strategy (Staff-Level Ownership)Define and evolve the ML/AI architecture and framework supporting quality, engineering, and vehicle analytics across the organizationSet technical direction for:Machine learning systemsExperimentation platformsData science architectureAct as a trusted technical advisor to senior leadership on:
Model feasibilityTrade-offs (accuracy, scalability, cost, interpretability)Business impact of ML/AI initiativesInfluence roadmap decisions across engineering and product organizations Advanced Machine Learning & Statistical ModelingDevelop and deploy predictive, prescriptive, and causal models using:
Vehicle dataIoT sensor dataEnterprise datasetsApply advanced techniques including:
Statistical modelingMachine learning algorithmsDeep learning / neural networksLead root cause analysis for vehicle quality, performance, and system failuresDesign and build LLM-based systems and agentic AI solutions for engineering and quality use cases Data Science Platform & Scalable SystemsArchitect and guide development of large-scale distributed data and ML systemsBuild and scale analytics pipelines using Spark-based distributed processing frameworksLead ML model lifecycle management, including:
TrainingValidationDeploymentMonitoring in productionEnsure models and systems are:
ExplainableReliableProduction-readyCompliant with automotive/regulatory standards Experimentation & Product ImpactOwn and evolve the experimentation framework/platform for safe, scalable testing of vehicle and software featuresDesign statistically sound experiments (A/B tests and beyond)Translate experimental results into clear product and engineering decisionsDrive measurable business outcomes including:
Warranty cost reductionImproved product qualityEnhanced customer experienceRevenue-impacting insights Influence, Mentorship & Knowledge SharingMentor senior and mid-level data scientists, raising technical standards across the teamHelp teams with:
Problem formulationResearch designStatistical interpretationContribute to internal knowledge systems and external-facing technical content (e.g., blogs or papers)Serve as a cross-functional leader bridging engineering, product, and executive teams What Success Looks Like (Top Performers)Strong candidates will demonstrate:
Proven impact from deployed ML systems or production analytics productsQuantifiable improvements in:
Vehicle qualityWarranty reductionCustomer experience metricsAbility to influence technical strategy beyond their immediate teamStrong communication skills with executive and non-technical stakeholdersDemonstrated ability to turn complex analysis into business decisions and outcomes
Basic Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related fieldA minimum of 8 years of experience in data science, advanced analytics, or machine learning, including a minimum of 5 years of hands-on experience with Databricks, Palantir, Snowflake, or AWS SageMakerExpert-level proficiency in:Python (or R)SQLStrong foundation in:
Machine learning algorithmsStatistical modelingNeural networks / deep learningExperience building ML solutions on distributed systems (e.g., Spark)
Preferred Qualifications:
Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related fieldExperience with:Large Language Models (LLMs)Fine-tuning foundation modelsAgentic AI systemsExperience building ML solutions in engineering, automotive, propulsion, or battery systemsStrong understanding of vehicle quality (QA), reliability, or manufacturing analyticsExperience working in high-scale enterprise or regulated environmentsAbout the
Role:
We are looking for a Senior Staff Data Scientist (ML/AI) to serve as a technical leader, architect, and individual contributor within the Machine Learning & AI Engineering team at Stellantis. This role sits at the intersection of machine learning, advanced analytics, experimentation, and large-scale vehicle/IoT data systems. You will define and influence how ML and AI are used across vehicle quality, engineering systems, and customer experience outcomes. This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement.What You Will Do:
Technical Leadership & ML Strategy (Staff-Level Ownership)Define and evolve the ML/AI architecture and framework supporting quality, engineering, and vehicle analytics across the organizationSet technical direction for:Machine learning systemsExperimentation platformsData science architectureAct as a trusted technical advisor to senior leadership on:
Model feasibilityTrade-offs (accuracy, scalability, cost, interpretability)Business impact of ML/AI... For full info follow application link. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.