Data Scientist
On-siteBrisbane, California, United States
Job Summary
Develop predictive forecasting models and pipeline analytics frameworks to improve revenue trends and operational efficiency. Analyze sales productivity, customer behavior, and revenue data to build scalable dashboards and operational intelligence solutions. Partner with Revenue Operations, Finance, and Data Engineering teams to enhance KPI governance, CRM adoption, and GTM data architecture. Identify operational inefficiencies and recommend data-driven process improvements to support executive decision-making and marketplace business models. Develop analytical frameworks for customer expansion, renewals, and churn analysis while assisting with data governance and forecasting transformation initiatives.
Required Qualifications
- 5+ years of Data Science, Analytics, or Revenue Intelligence experience
- Strong SQL, Python, and statistical modeling expertise
- Experience working with large operational and sales datasets
- Experience building forecasting and predictive analytics models
- Strong data visualization and dashboarding capabilities
- Experience partnering with business stakeholders and executive teams
- Strong understanding of SaaS or technology business models
- Ability to translate technical findings into business recommendations
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