Quality Data Scientist – Electrical Systems & Field Quality Engineering
Stellantis
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Benefits offered by this job
Job summary
Stellantis is seeking a strategic Data Scientist to support Warranty Analytics and Programs within our North America quality team. You will develop scalable analytics, predictive models, and early-warning capabilities to detect emerging quality trends across large enterprise datasets.
The role combines advanced data analytics, model development, and executive-ready communication to improve product quality and customer satisfaction.
Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field.
- 7 years of professional experience as a Data Scientist or similar role.
- Strong proficiency in Python, SQL, PySpark, and data visualization tools such as Power BI or Palantir Foundry Workshop.
- Experience with enterprise data or cloud platforms (Palantir Foundry/Snowflake/Databricks/AWS/Azure/GCP).
- Advanced data manipulation, feature engineering, validation, and large-scale data analysis.
- Proven end-to-end analytics delivery from requirements to monitoring.
Responsibilities
- Lead cross-functional analytics and AI initiatives from problem definition through deployment.
- Perform deep exploratory, diagnostic, and predictive analyses on large enterprise datasets.
- Build, validate, and deploy predictive models for warranty claims, quality trends, and cost exposure.
- Create executive-ready PowerPoint presentations communicating methods, findings and recommendations.
- Develop dashboards and visualizations to enable insight adoption and action.
Skills
Education
Tools
Job description
Are you passionate about transforming complex data into actionable insights that improve product quality and customer satisfaction? We are seeking a strategic, hands‑on Data Scientist to support Warranty Analytics and Programs within our North America quality team.
The ideal candidate combines advanced data analytics, predictive modeling, and data manipulation expertise with the ability to communicate complex findings through clear, executive‑ready PowerPoint presentations. You will be part of a talented team developing scalable analytics, predictive models, and early‑warning capabilities to detect emerging quality trends across large enterprise datasets.
This is a fast‑paced environment focused on rapid, high‑quality delivery for business partners. You will work in a highly collaborative organization that values analytical rigor, speed, innovation, and measurable business impact.
- Lead and coordinate cross‑functional analytics and AI initiatives from problem definition through deployment, ensuring alignment with business objectives, timelines, and measurable outcomes.
- Perform deep exploratory, diagnostic, and predictive analysis to identify patterns, relationships, anomalies, emerging risks, and leading indicators within complex datasets.
- Build, validate, and deploy predictive models to forecast warranty claims, component failure rates, quality trends, repair demand, and cost exposure.
- Apply statistical analysis, machine learning, forecasting, segmentation, and anomaly‑detection techniques to solve business and operational problems.
- Manipulate, integrate, cleanse, transform, and analyze large structured and unstructured datasets from multiple enterprise sources using Python, SQL, PySpark, and related tools.
- Develop robust, repeatable analytical workflows and reusable data products that support scalable decision‑making and consistent results.
- Partner with business stakeholders to define analytical questions, translate business needs into actionable use cases and technical requirements, and establish success criteria.
- Collaborate with data scientists, data engineers, platform teams, and subject‑matter experts to improve data accessibility, model performance, scalability, and adoption.
- Create compelling, executive‑ready PowerPoint presentations that clearly communicate analytical methods, findings, predictions, business implications, risks, recommendations, and next steps.
- Develop dashboards, visualizations, and analytical outputs that enable insight adoption, operational action, and performance monitoring.
- Present complex analytical findings to technical and nontechnical audiences using concise storytelling, strong visual design, and decision‑focused recommendations.
- Ensure data quality, lineage, documentation, model transparency, and compliance with enterprise governance requirements.
- Monitor model performance and analytical outputs, identify degradation or changing patterns, and recommend model recalibration or process improvements.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field
- 7 years of professional experience as a Data Scientist, Advanced Data Analyst, Predictive Analytics Specialist, or similar role
- Strong proficiency in Python, SQL, PySpark, and data visualization tools such as Power BI or Palantir Foundry Workshop
- Experience working with one or more enterprise data or cloud platforms, such as Palantir Foundry, Snowflake, Databricks, AWS, Azure, or GCP
- Demonstrated experience performing advanced data analysis and developing predictive models that support business or operational decisions
- Advanced data manipulation skills, including data extraction, cleansing, transformation, joining, feature engineering, validation, and analysis of large, complex datasets
- Strong understanding of statistics, exploratory data analysis, hypothesis testing, regression, classification, forecasting, clustering, model evaluation, and applied machine learning
- Proven experience delivering end‑to‑end analytics or data science solutions from requirements gathering and data preparation through validation, deployment, and monitoring
- Advanced proficiency in Microsoft PowerPoint, including development of executive‑level presentations, analytical storytelling, charts, visual summaries, and clear recommendations for senior leadership
- Ability to translate complex analytical findings and model outputs into concise, actionable business insights for technical and nontechnical audiences
- Strong communication, stakeholder engagement, problem‑solving, prioritization, and cross‑functional collaboration skills
- Master’s degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field
- Extensive experience in deep data analysis, predictive analytics, forecasting, and development of models that identify future risks, trends, or outcomes
- Demonstrated success converting complex analytical work into persuasive, executive‑ready PowerPoint presentations that support decisions and action
- Industry experience in automotive, warranty, quality, manufacturing, service operations, or related fields
- Familiarity with data modeling, semantic layers, feature stores, and enterprise data platforms
- Experience with MLOps concepts, model deployment, versioning, monitoring, explainability, and governance
- Hands‑on experience with Palantir Foundry, Snowflake Intelligence, Power BI, CoPilot, Anthropic, Gemin, and other forms of OpenAI/GPT or comparable analytics, LLM, and AI platforms
- Experience analyzing unstructured data, including text, service narratives, customer complaints, or technical documentation
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.
We proudly support all paths to parenthood—including fertility and infertility treatments, adoption services, and gestational surrogacy.
We believe in work‑life balance. That’s why we offer: 17 paid holidays, including shut‑down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.
- An employer match on contributions to your 401k, Roth, and Catch‑Up plans
- An employer contribution, even if you don’t contribute
Benefit from both employer‑provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. – supporting the needs of you and your family and ensuring peace of mind.
Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.
- Tuition reimbursement
- Student loan refinancing programs
- 18 paid volunteer hours each year to make a difference in your community
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
EOE / Disability / Veteran
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