Data Scientist

📋 Description

• Turn user engagement data into insights powering personalized discovery.
• Analyze how members discover, engage with, and respond to content.
• Build and train predictive models for recommendations and personalization.
• Create scalable data foundations with dbt models for analytics tools.
• Prototype approaches for future recommendation algorithms.
• Define and communicate metrics with engineers and product teams.

🎯 Requirements

• Strong analytical and statistical foundation for models and insights.
• High-velocity, focused execution with minimal context switching.
• Strong ownership and initiative with urgency and accountability.
• Exceptional communicator translating analyses to non-technical stakeholders.
• Growth-oriented and curious, advancing ML for streaming discovery.

🎁 Benefits

• Hybrid work environment with remote option for team members.
• Onsite events in Utah with occasional travel opportunities.
• Full-time, 40 hours per week.
• Remote-friendly office setting and team collaboration.
• Must be authorized to work in the United States.