remote
Data Scientist - AI Execution - Stellantis
Data Scientist
Design and deploy AI/ML models for purchasing data products, delivering explainable, scalable solutions that enable data‑driven decision making and intelligent automation within a governed product environment.
About the role
Key Responsibilities
- Design, develop, and iterate machine‑learning models (e.g., recommendation, scoring, predictive) that address purchasing use cases.
- Collaborate with product owners and cross‑functional teams to translate business requirements into robust AI solutions.
- Ensure model explainability, performance monitoring, and scalability in production environments.
- Integrate AI models into data pipelines and automation workflows while adhering to governance and delivery frameworks.
- Document model architecture, data lineage, and validation results for stakeholder review.
Requirements
- Strong proficiency in Python and ML libraries such as scikit‑learn, TensorFlow or PyTorch.
- Experience building statistical and predictive models for large‑scale business applications.
- Solid understanding of data engineering concepts, SQL, and cloud platforms (AWS, Azure, or GCP).
- Ability to communicate model insights clearly and ensure explainability for non‑technical audiences.
- Proven track record of delivering end‑to‑end AI solutions within governed product environments.
Skills
pythonmachine learning