Principal Business Analytics Data Scientist

Quick Facts

• Role: Principal Business Analytics Data Scientist

• Focus: Business insights, forecasting, experimentation, and monetization analytics for AI-powered content discovery

Description

Serve as a trusted analytics partner to leadership and cross-functional teams, translating complex data into clear business recommendations. Build business frameworks and models connecting user engagement, content quality, marketplace dynamics, and monetization outcomes, while leveraging AI/ML to automate and scale insights. Influence product and investment decisions through data-driven storytelling.

Responsibilities

• Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions

• Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks

• Develop business frameworks that link product initiatives, user behavior, content quality, and monetization outcomes

• Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue

• Use AI and machine learning to automate business insights and improve forecasting accuracy

• Evaluate tradeoffs between user experience, engagement, and monetization

• Communicate insights clearly to senior stakeholders and influence decisions

Requirements

• Doctorate/Master’s/Bachelor’s in a relevant field, or equivalent experience, with the specified years of data-science experience

• Experience managing structured and unstructured data and applying statistical techniques with results reporting

• Experience leading analytics for large-scale consumer products with millions of users

• Demonstrated success influencing product strategy and business outcomes with data-driven insights

• Experience in content ecosystems and AI-powered content discovery (preferred)

• Familiarity with key engagement and monetization metrics (sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, marketplace efficiency)

Benefits

• Base pay range varies by location; typical U.S. range: USD 142,800–274,800 per year (other ranges apply for specific metro areas)

• Eligible for benefits and other compensation (details provided via company careers page)