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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Stellantis - **Location:** Auburn Hills, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Algorithm Design, Business Analytics Applications, Artificial Neural Networks, Big Data, Cluster Analysis, Continuous Integration, Data Visualization, Distributed Computing Environment, Python (Programming Language), Machine Learning, Power BI, Standard Sql, Feature Engineering, Delivery Pipeline, Snowflake, Random Forest, Apache Spark, Usage Tracking, Event Driven Architecture, Pyspark, Data Analytics, Xgboost, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks - **Published:** August 14, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88037838/1 ## About the Role * Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field) * Minimum of 5 years of experience in data science, econometrics or a related field * Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark * Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines * Strong grasp of machine learning algorithms like: * Regression (linear, logistic) * Causal Inference Models (Difference-in Difference, Regression Discontinuity Design) Experience with experimental design, and statistical inference Ability to translate complex data into actionable insights for business stakeholders, * Master's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field) * Automotive experience * Tree-based models (Random Forest, XGBoost, LightGBM) * Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping) * Experience using PySpark for distributed data processing and feature engineering * Experience with Power BI or similar tools for data visualization and dashboarding * 2+ years of experience working with finance / pricing / incentives data * 2+ years of experience working with sales / commercial data * Strong communication and storytelling skills with the ability to influence decision-makers * Understanding of CI/CD workflows for automating model testing and deployment * Experience working with real-time data pipelines and event-driven architectures The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability. Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data. ## Description The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability. Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data. In this role, you will: * Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases * Design and implement econometric and causal inference models to quantify the impact of vehicle incentives, pricing, and commercial levers on sales, margin, and demand * Estimate and interpret price and incentive elasticities across brands, segments, and regions, informing pricing and go-to-market strategies * Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making * Communicate complex results clearly to both technical and non-technical audiences * Partner with Data Engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage * Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks * Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling * Contribute to the maintenance of models in production environments, ensuring scalability and performance * Conduct peer code reviews and support best practices in model development and deployment * Collaborate with both external and internal resources to support business requirements and key KPI measurement, * Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases * Design and implement econometric and causal inference models to quantify the impact of vehicle incentives, pricing, and commercial levers on sales, margin, and demand * Estimate and interpret price and incentive elasticities across brands, segments, and regions, informing pricing and go-to-market strategies * Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making * Communicate complex results clearly to both technical and non-technical audiences * Partner with Data Engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage * Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks * Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling * Contribute to the maintenance of models in production environments, ensuring scalability and performance * Conduct peer code reviews and support best practices in model development and deployment * Collaborate with both external and internal resources to support business requirements and key KPI measurement ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)