Data Scientist - Optimization for Supply Chain

Posted yesterday

toyotaPlano (TX)

SENIORITY

Lead

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About the role

Toyota’s Digital Innovations organization in Plano, TX seeks a Data Scientist - Optimization to design, develop, and industrialize advanced optimization solutions for the North American Vehicle Supply Chain. This role applies mathematical optimization, operations research, data science, and cloud-based engineering practices to deliver the supply chain vision of getting the right vehicle to the right place at the right time.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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