Systems Engineer

You will be part of the Systems and Data team in the EMEA Distribution department for Finished Vehicle, Service, Energy and E-commerce. It is an important team in Tesla’s Supply chain as we are responsible for End-to-End Systems for all EMEA Distribution operations. The responsibilities of Systems Engineering will focus on (1) Data Science & Analytics and (2) Ideation & Project Management for systems across warehousing, reverse logistics, transportation, and planning. A core part of this role is building prediction models that map the right parts to correction codes for vehicle repairs, and models that map the right correction codes to symptoms and auto-diagnostics performed by the vehicle. You will be working with operations, product managers, data engineers and software engineers to drive automation, increase cost control and ensure compliance across the distribution network. The position sits at the intersection between operations, systems, and data science. Therefore, we are looking for someone motivated with strong technical knowledge in data science, systems and processes combined with strong social skills. It is a dynamic role that requires adaptability, drive, and creativity. What You’ll Do Your daily tasks will be divided into two categories:

Data Science & Analytics

• Build and maintain prediction models that map the right parts to correction codes for vehicle repairs
• Develop models that map the right correction codes to symptoms and auto-diagnostics performed by the vehicle
• Analyze structured and unstructured repair, parts, and diagnostic data to improve model accuracy and identify process gaps
• Partner with operations, service, software engineers and data engineering to validate model outputs and embed them into operational workflows
• Monitor model performance over time and iterate based on new repair patterns, parts changes, and diagnostic signals

Ideation & Project Management for Systems

• Support Service for Motors and Energy to idea the right processes and systems
• Translate these ideas into technical requirements and project plans

• Create alignment with all business stakeholders on defined solutions

• Create and maintain product roadmaps, project plans, and progress reports
• Implement new dashboards, processes, and systems by creating the right training material and support structures
• Manage one or many programs end-to-end-understanding of all processes, available data, systems gaps, and stakeholders to drive projects holistically

• Passion to accelerate the transition to Sustainable Energy.
• Proactive attitude and a “can-do” mentality.
• Not afraid to speak up and reach out and find the answers for yourself where needed.
• 3 to 6 years of experience in Data Science, Engineering, System Product Management or Analytics in Supply Chain / Service
• Experience in Python, SQL, machine learning / predictive modeling, Splunk, Power BI, Tableau
• Experience applying data science to operational or service problems (e.g. classification, recommendation, or mapping models)
• Experience in project management for systems or analytics initiatives
• Knowledge of System Architecture, API calls and JSON structures is required
• Effective communication skills and diplomacy to work with a multitude of partners with diverse needs and cultural backgrounds
• Excellent command of the English language