Principal Data Scientist — AI & Cloud Leader

Toyota North America; Plano (TX); On-site; USD 180,000 - 210,000; Full time

Benefits offered by this job

Team environment

Tuition reimbursement

Vehicle purchase discount

Relocation assistance

Comprehensive health plans

401(k) plan with company match

Job summary

Toyota North America in Plano, TX is seeking a Principal Data Scientist to lead technical strategy and execution of Supply Chain data science and AI initiatives. This is a principal-level leadership role that partners with engineering, product, and business stakeholders to deliver data-driven decision-support solutions.

You will mentor teams, shape standards in MLOps, and drive scalable delivery across AWS, Databricks, and Azure while focusing on responsible AI and measurable business impact.

Qualifications

• 8+ years delivering complex enterprise data science, analytics, or software solutions.
• 5+ years building cloud-native data science architectures on AWS, Databricks, and Azure.
• Proven ability to mentor data scientists, ML engineers, and engineering managers.

Responsibilities

• Define and advance the technical approach for Supply Chain DS/AI products on AWS, Databricks, Azure.
• Lead architecture and design decisions across data science products and teams.
• Provide principal-level technical leadership across the full DS lifecycle.
• Mentor data scientists and ML engineers to raise technical excellence.
• Directly lead technical work across development teams when needed.
• Drive disciplined agile delivery with clear user stories and acceptance criteria.

Skills

Data science leadership

Cloud-native architecture

Python

SQL

MLOps

Cross-functional leadership

Education

MS/PhD in CS/Math/Stats

Tools

AWS SageMaker

Databricks

Azure

Apache Spark

MLflow

Job description

Toyota North America in Plano, TX is seeking a Principal Data Scientist to lead technical strategy and execution of Supply Chain data science and AI initiatives. This is a principal-level leadership role that partners with engineering, product, and business stakeholders to deliver data-driven decision-support solutions.

You will mentor teams, shape standards in MLOps, and drive scalable delivery across AWS, Databricks, and Azure while focusing on responsible AI and measurable business impact.