Data Scientist
FetchJobs.co · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Job highlights
- Design AI/ML for purchasing data products.
- Enhance automation use cases with AI.
- Collaborate with product owners and engineers.
- Integrate AI into user-facing applications.
- Ensure robust, explainable AI solutions.
About the role
About The Company
Stellantis is a global leader in the automotive industry, renowned for its innovative approach to mobility solutions and commitment to sustainability. With a diverse portfolio of brands and a strong presence across continents, Stellantis continuously strives to redefine transportation through cutting-edge technology, advanced manufacturing processes, and a customer-centric philosophy. The company fosters a dynamic and inclusive work environment that encourages innovation, collaboration, and professional growth, making it an ideal place for talented professionals to thrive and contribute to shaping the future of mobility.
About The Role
The Data Scientist – AI Execution at Stellantis plays a pivotal role in designing, developing, and refining artificial intelligence and machine learning solutions that enhance purchasing data products and automation use cases. This position involves working closely within product owner-led teams to enable data-driven decision-making and intelligent automation across various business functions. The role ensures that AI capabilities are not only innovative but also robust, explainable, and scalable, aligning with corporate governance and operational frameworks. The ideal candidate will bring a strong technical background combined with excellent collaboration skills to translate complex business needs into effective AI solutions, ultimately driving efficiency and innovation within the organization.
Qualifications
To succeed in this role, candidates should possess a bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience in developing and deploying AI/ML models in a commercial environment is essential. Strong knowledge of programming languages such as Python or R, along with experience using machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn, is required. Familiarity with cloud platforms (AWS, Azure, GCP) and data engineering concepts is highly desirable. Excellent analytical skills, problem-solving capabilities, and the ability to communicate complex technical concepts to non-technical stakeholders are critical. A background in automotive or manufacturing industries is a plus but not mandatory.
Responsibilities
- Design and implement AI/ML models aligned to Purchasing use cases such as recommendations, scoring, prediction, and classification.
- Partner with Product Owners to translate business needs into executable model logic and expected outcomes.
- Collaborate with Data Engineers to ensure models are production-ready, scalable, and performant.
- Work closely with Data Analysts, Front-End Developers, and UI/UX teams to integrate AI outputs into user-facing applications, including dashboards, chatbots, and AI-assisted workflows.
- Support multiple AI interaction patterns, including embedded intelligence, conversational interfaces, and emerging agentic solutions.
- Validate model outcomes, explainability, and performance, supporting responsible AI practices.
- Contribute to AI reuse and standardization initiatives within the company to promote consistency and efficiency.
- Stay updated with the latest advancements in AI and machine learning to continuously enhance solution capabilities.
Benefits
Stellantis offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive salary packages, health insurance, retirement plans, and paid time off. Employees have access to ongoing training and development programs, fostering continuous learning and career advancement. The company promotes a flexible work environment and initiatives that support work-life balance. Additionally, Stellantis encourages innovation and recognizes employee contributions through various awards and recognition programs, making it a rewarding place to build a career.
Equal Opportunity
Stellantis is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. The company values diversity and encourages candidates of all backgrounds, experiences, and perspectives to apply. Stellantis ensures that employment decisions are made based on merit, qualifications, and business needs, without regard to race, color, religion, gender, sexual orientation, age, disability, or any other protected characteristic. The organization actively promotes a culture of equity and inclusion to support its global workforce.
Key skills/competency
- Data Scientist
- AI Execution
- Machine Learning
- Python
- R
- TensorFlow
- PyTorch
- Scikit-learn
- Cloud Platforms
- Data Engineering
Skills & topics
- Data Scientist
- AI Execution
- Machine Learning
- Python
- R
- TensorFlow
- PyTorch
- Scikit-learn
- Cloud Platforms
- Data Engineering
- Automotive
- AI
- ML
- Data Science
How to get hired
- Tailor your resume: Highlight AI/ML model development, deployment experience, and Python/R skills.
- Showcase relevant projects: Detail commercial AI/ML deployments and contributions to standardization.
- Emphasize collaboration: Demonstrate experience working with cross-functional teams (Product Owners, Data Engineers).
- Prepare for technical questions: Be ready to discuss AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms.
- Understand Stellantis's mission: Connect your skills to their goals in mobility and sustainability.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Scientist - AI Execution at Stellantis?
- The Data Scientist - AI Execution at Stellantis is responsible for designing and implementing AI/ML models for purchasing use cases, partnering with Product Owners, collaborating with Data Engineers for production readiness, and integrating AI outputs into user-facing applications. They also support various AI interaction patterns and validate model performance.
- What qualifications are essential for the Data Scientist - AI Execution role at Stellantis?
- Essential qualifications include a bachelor's or master's degree in a related field, proven experience in developing and deploying AI/ML models commercially, strong proficiency in Python or R, and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Analytical and communication skills are also critical.
- Is experience in the automotive industry required for the Data Scientist - AI Execution position at Stellantis?
- While a background in automotive or manufacturing industries is considered a plus, it is not mandatory for the Data Scientist - AI Execution role at Stellantis. The company values strong technical skills and relevant AI/ML experience.
- What kind of AI solutions will a Data Scientist - AI Execution work on at Stellantis?
- A Data Scientist - AI Execution at Stellantis will work on AI/ML models for purchasing use cases such as recommendations, scoring, prediction, and classification. They will also be involved in developing conversational interfaces, embedded intelligence, and agentic solutions.
- How does Stellantis support professional growth for its Data Scientists?
- Stellantis supports professional growth through comprehensive benefits, competitive salaries, ongoing training and development programs, and opportunities for career advancement. They foster an environment that encourages continuous learning and innovation.