The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.- Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines.
- Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.
- Apply statistical analysis and machine learning techniques to solve business and operational problems.
- Partner with business stakeholders to understand requirements and translate them into analytical solutions.
- Translate business needs into actionable AI use cases and technical requirements
- Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends.
- Ensure data quality, lineage, documentation, and compliance with governance requirements
- Create dashboards and analytical outputs that drive insight adoption and operational impact
- Collaborate with business data engineers, and platform teams on scalability, performance, and best practices
- Bachelor’s or in Data Science, Statistics, Engineering, Computer Science, or related field.
- 3+ years experience as Data Scientist, Advanced Analyst, or similar role
- Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop ).
- Solid understanding of statistics, exploratory data analysis, and applied machine learning.
- Experience working with large, complex datasets in enterprise environments
- Ability to communicate analytical findings clearly to technical and non‑technical audiences.
- Proven experience delivering end‑to‑end analytics or data science solutions into production.
- Experience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, GCP).
- Strong communication and stakeholder engagement skills.
- Familiarity with data modeling, semantic layers, and enterprise data platforms.
- Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field.
- Industry experience in automotive and manufacturing
- Exposure to MLOps concepts, model deployment, or monitoring
- Hands-on experience with Palantir Foundry, Snowflake Intelligence
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
