ICT Data Analyst/Scientist

We are seeking a strategic and hands-on Data Scientist to support Warranty Analytics and Programs within our North America Data & AI team.

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

Qualifications

Basic Qualifications:

• 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.

Preferred Qualifications:

• 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