What You’ll Do (Impact Areas)
- Decode signals: build data-analysis pipelines to understand vehicle signals related to battery usage across applications, and machine signals related to battery manufacturing processes.
- Build battery-health intelligence: develop, validate, and maintain models that provide battery-health assessments to customers of our connected battery products.
- Optimize manufacturing: build and maintain models to increase production throughput, reduce scrap rates, and improve product quality.
- Collaborate & translate: work with data scientists, engineers, and business stakeholders to craft solutions, and communicate the data-driven decision process to non-technical stakeholders.
- Support broadly: provide ML and statistical solutions to other areas of the company as needed.

What Success Looks Like
- Reliable battery-health models in production, giving connected-product customers assessments they can trust.
- Measurable manufacturing gains: higher throughput, lower scrap rates, and improved product quality driven by machine-level data.




- Monitoring systems that surface meaningful signals and timely alerts to customers.
- Clear, well-communicated insights that non-technical stakeholders can act on.

Core Competencies
- Strong statistical and ML foundations: hypothesis testing, design of experiments, regression, classification, clustering, and time-series analysis.
- Hands-on model development, training, validation, and deployment.
- Data storytelling and visualization for both analysis and model explanation.
- Curiosity, creativity, and self-direction in a dynamic business environment.
- Effective collaboration across diverse, cross-functional teams.

Required

What You Bring (Qualifications)
- BS in Statistics, Mathematics, Computer Science, or a related engineering field.
- 3+ years of experience, or equivalent academic experience with a master’s/PhD program in a relevant field.
- Proficiency programming with Python, Julia, or R and ML/statisti

📌 Data Scientist (San Pedro Garza García)
🏢 Clarios
📍 San Pedro Garza García