Data Scientist

Job Title

Under general supervision, this role designs, builds, and maintains scalable digital solutions that improve procurement transparency, supplier readiness, and operational decision-making across North America.

Essential Functions

• Data Engineering & Architecture — 20% Build and maintain data pipelines (ETL/ELT) using SQL, Python, and Databricks; integrate internal systems (SAP, procurement, SQE, logistics) and external sources (supplier portals, APIs). Document data lineage, schema, and definitions to ensure transparency and reuse.
• Software & Automation Development — 15% Design and develop automated workflows and services using Python, Power Automate, and PowerApps to reduce manual effort, improve data accuracy, and ensure reliable refresh cycles with monitoring, logging, and alerting.
• BI & Advanced Analytics — 15% Develop datasets, semantic models, dashboards, and KPIs in Power BI covering supplier performance, contract effectiveness, AVOB, future sourcing, localization/RVC, capacity readiness, and cost initiatives. Apply analytical methods such as trend analysis, forecasting, and anomaly detection where applicable.
• Data Governance & Quality — 10% Execute data governance standards for accuracy, access control, security, retention, and auditability. Monitor data quality KPIs, resolve defects, and align with IT, Cybersecurity, and Compliance functions to ensure policy adherence.
• Project & Agile Delivery — 20% Serve as a technical project manager within Agile/Scrum frameworks. Refine backlog items, estimate effort, coordinate sprints, manage risks, align stakeholders, track progress, and deliver incremental digital solutions that provide measurable business value.
• Cross-Functional & Global Collaboration — 10% Translate requirements from Procurement, SQE, Capacity, Logistics, Finance, Legal, and global digitalization hubs (Germany, India, Mexico). Ensure alignment with global architecture and contribute to governance-ready documentation, decision papers, and project committees.
• Operations, Support, and Documentation — 5% Ensure operational stability of all tools and data products, respond to incidents, and maintain up-to-date technical and functional documentation required for audits and knowledge transfer.
• Safety, Compliance & Other Duties — 5% Perform work in compliance with MBUSI safety rules and regulations. Complete required training and carry out additional responsibilities as assigned.

Qualifications

Education, Experience and Necessary Skills all must be met in order to qualify for position.

Education:

This position requires a Bachelor's degree in one of the following: Computer Engineering/Computer Science, Information Technology, Industrial Engineering, Electrical Engineering Or related area or the equivalent combination of education and experience)

Experience:

A minimum of three (3) years' of relevant professional experience in the following area(s): Automotive environment Complex information systems and end-user support Full lifecycle development (requirements → design → build → test → deploy) Database design, optimization, and administration Project management and cross-functional delivery Automation, reporting, and data solutions in technical environments

Necessary Skills, Certifications, etc.:

More than 3 years experience in Data & AI Engineering and Programming

Python, SQL, Databricks, and Power Automate for automation and orchestration Power BI, PowerApps, and advanced Excel (VBA/macros) for reporting and tool development Understanding of APIs, ETL/ELT, data modeling, Git/version control Strong analytical and problem-solving skills Clear written and verbal communication for cross-functional and leadership interactions Knowledge of AI/ML fundamentals and visualization best practices Experience working in multicultural, cross-functional teams Agile/Scrum project management experience

Preferred Skills:

Sponsorship is not Available.