Associate, Customer Experience at Doordashusa

Doordashusa

San Francisco, CA; New York, NY; Chicago, IL; Seattle, WA; Phoenix, AZ; United States - Remote·13h ago

Mid LevelFull-timePythonAWSMachine LearningData ScienceGoAI

Salary Range

$51,000 - $69,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

The ACE team at DoorDash is seeking an Associate, Customer Experience to apply data science and AI to uncover systemic drivers of executive escalations and support friction. You will design and deploy models that structure unstructured case data into scalable taxonomies, automate postmortem analyses, and surface clear root causes. This role requires strong technical rigor, structured thinking, and the ability to convert analysis into durable operational and product improvements.

Key Responsibilities

→Deploy AI-driven solutions to identify systemic support gaps and convert unstructured case data into actionable taxonomies.
→Own the development of scalable case classification models that improve visibility into root causes and reduce noise in escalation channels.
→Translate complex datasets into executive-ready insights that influence product, policy, and operational decisions.
→Partner cross-functionally with Product, Engineering, and Operations to close upstream gaps and prevent repeat issues at scale.
→Operate at the intersection of data science and business strategy, using analytics to drive measurable customer and operational outcomes.

Requirements

✓Strong foundation in data science, statistics, or a related quantitative field, with the ability to translate theory into practical business applications.
✓Fluency in SQL and Python, with experience working with large, messy datasets to extract structured, decision-ready insights.
✓Ability to think in systems, not symptoms, and deconstruct complex support issues into clear, root cause categories.
✓Experience building and deploying machine learning or AI-driven models that drive measurable operational impact.
✓Ability to communicate complex analyses clearly and concisely, tailoring insights for both technical and executive audiences.
✓Bias for action, moving from analysis to recommendation to implementation without overengineering.
✓Detail-oriented, intellectually curious, and motivated by improving customer experience through scalable, data-driven solutions.
✓Ability to thrive in cross-functional environments and influence stakeholders using evidence, logic, and structured thinking.