Staff, Data Analytics, Pricing and Yield Management

📋 Description

• Build yield scoring, ad performance dashboards, and pricing infrastructure.
• Surface pricing and inventory gaps before they appear in aggregate reporting.
• Own analytical framework for supplier advertising pricing and incentive programs; quantify revenue
• Develop category and keyword performance models; translate findings into expansion and pricing
• Build predictive models for churn, velocity scoring, and cohort retention analyses; provide
• Apply AI/ML to pricing and retention; design and execute A/B tests across pricing and supplier

🎯 Requirements

• Bachelor's degree in quantitative field with 7+ years (or Master's with 5+ years) in pricing
• Background in ad tech, programmatic advertising, marketplace monetization, or two-sided platform
• Hands-on ML in production (classification, regression, time series); proven models that shipped.
• Strong SQL; fluency with Snowflake, dbt, and Looker; build data models and dashboards independently.
• Experience with churn propensity models, velocity scoring, cohort retention; translate risk into
• Hands-on A/B testing, test design, sample sizing, and live marketplace interpretation.

🎁 Benefits

• 401(k) match, medical, dental and vision insurance; life and disability coverage.
• Generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and
• EAP and wellbeing resources; other supportive benefits.