Automotive WMS Data Scientist & Analytics Engineer

Stellantis Financial Services; Auburn Hills (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Stellantis Financial Services is seeking a Data Engineer to design and maintain large-scale data pipelines from automotive sources. You will ensure data quality and accessibility, and collaborate with IT and analytics teams to deliver scalable data products.

The role emphasizes building predictive models and deploying ML algorithms for forecasting, anomaly detection, and customer segmentation, with emphasis on clear visualizations and dashboards for stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or related field, or equivalent work experience.
• Minimum 1 year experience in data engineering, analytics, or data science (automotive industry experience preferred).
• Proficiency in programming languages such as Python and SQL.
• Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.).
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Excellent communication and presentation abilities, with ability to explain complex concepts to diverse audiences.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Design, implement, and maintain robust data pipelines (ETL/ELT) for large-scale datasets from automotive sources.
• Ensure data quality and accessibility with automated validation and monitoring tools.
• Optimize data workflows for performance, scalability, and reliability for batch and real-time analytics.
• Collaborate with IT and analytics teams to integrate data from business systems into data products.
• Build, train, and deploy predictive models and ML algorithms for forecasting, anomaly detection, and segmentation.
• Apply data visualization best practices for dashboards, automated reporting, and mobile-friendly insights.

Skills

Python

SQL

Analytical thinking

Communication

Education

Bachelor’s degree in CS/DS/IS

Tools

Snowflake

Power BI

Tableau

Qlik

Job description

Stellantis Financial Services is seeking a Data Engineer to design and maintain large-scale data pipelines from automotive sources. You will ensure data quality and accessibility, and collaborate with IT and analytics teams to deliver scalable data products.

The role emphasizes building predictive models and deploying ML algorithms for forecasting, anomaly detection, and customer segmentation, with emphasis on clear visualizations and dashboards for stakeholders.