Lead investigations on fleet-wide issues; present findings to executives.
Build and maintain infrastructure, tools, and software to assess hardware.
Apply data science to analyze data and model improvements for customers.
Develop tooling and processes to improve customer experience and issue resolution.
Build data pipelines, metric aggregation, and dashboards for visibility.
Drive cross-functional outcomes across engineering, production, supply chain, and CX.

🎯 Requirements

Bachelor's degree in engineering, CS, data analysis, or STEM.
1+ years experience with SQL.
1+ years experience with data analysis in Python or R.

🎁 Benefits

Equity incentives and potential bonuses.
Medical, vision, and dental coverage.
401(k) retirement plan.
Disability and life insurance.
Paid parental leave.
Paid vacation and 10+ holidays.
Paid sick time (WA law).

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