Data Scientist, Analytics

Tech Stack

Responsibilities

• Partner with teams through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing.
• Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards.
• Quickly and easily build custom data sets to monitor novel product features and processes using infrastructure.
• Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback.
• Champion A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly.

Benefits

• Equity
• Learning Budget

Culture

Requirements