Staff Data Scientist – Sales Intelligence

About Gofundme

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Job Summary

We’re looking for a Staff Data Scientist to drive the evolution of Sales Intelligence at GoFundMe. This senior individual contributor will own the technical roadmap, modeling frameworks, and AI capabilities that help our Sales and Customer Success teams acquire, retain, and grow our non-profit (NPO) partners.

Key Responsibilities

• Lead the development of sales intelligence models: Design, prototype, and deploy models that score leads, predict churn, and surface upsell and cross-sell opportunities across our NPO customer base.
• Develop and evolve customer health frameworks: Build predictive models that quantify customer engagement, satisfaction, and retention risk, helping Sales and Success teams proactively address churn.
• Operationalize AI for sales enablement: Leverage NLP, embeddings, and large language models (LLMs) to extract, normalize, and retrieve insights from structured and unstructured sources.
• Build data-driven playbooks: Create systems that recommend relevant talking points, products, or case studies for sales meetings based on historical interactions and customer attributes.
• Advance predictive and prescriptive modeling: Develop time-series and optimization models to forecast sales outcomes and recommend next-best actions for account growth.
• Partner with GTM systems and data engineering: Ensure robust data pipelines, feature stores, and feedback loops that enable continuous model improvement.
• Act as a technical thought leader: Define best practices for model validation, feature engineering, and productionization in go-to-market (GTM) AI applications.
• Collaborate cross-functionally: Partner with Sales, Marketing, Customer Success, and Product teams to interpret insights, influence strategy, and embed intelligence directly into sales workflows.
• Mentor and elevate: Provide technical mentorship to data scientists and analysts, helping scale advanced analytical and AI practices across the Decision Science team.

Requirements

• 8+ years of experience in data science or related field.