Build demand forecasting and pipeline models predicting revenue by campaign/segment/market.
Develop lead scoring, audience propensity, and opportunity scoring models.
Model the link between marketing spend, channel performance, and revenue.
Identify high-value segments and audiences to inform where we compete.
Develop personalization models for tailored experiences across channels.
Own revenue data ecosystem; ensure data integrity and model readiness.

🎯 Requirements

8+ years in data science, revenue analytics, or similar.
Proven experience building predictive and demand forecasting models tied to revenue.
CRM data ecosystems and marketing/sales interconnections; Salesforce preferred.
Proficiency in Python and SQL.
Experience modeling pipeline generation, conversion rates, revenue velocity.
Proficiency with Tableau or Power BI.

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