Staff Data Scientist - Growth & Expansion

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist - Growth & Expansion based in the United States.

The Staff Data Scientist will own the customer-growth analytics agenda across the full lifecycle, from onboarding and activation through retention, multi-product adoption, and expansion.
You’ll connect product behavior, go-to-market activity, and financial targets to create a shared evidence base for growth decisions.
The role is highly cross-functional, partnering with Growth, GTM, Finance, Product, Analytics Engineering, and Data Science teams.
You’ll identify the behaviors and customer segments that predict long-term expansion and translate those insights into actionable investment priorities.
As a Staff-level individual contributor, you’ll set analytical standards, shape measurement frameworks, and influence senior leaders without relying on direct authority.
You’ll work with governed data in an evolving analytics environment while helping strengthen the foundations needed for scalable growth measurement.
This is a hands-on, direction-setting opportunity with potential to build and lead a dedicated analytics pod as the mandate expands.

Accountabilities
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Own the customer-growth outcome end to end, covering onboarding, activation, trial-to-paid conversion, multi-product adoption, retention, and expansion revenue.

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Establish clear, trusted metrics for each stage of the customer lifecycle and ensure Growth, GTM, Finance, and Product teams work from a consistent evidence base.

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Identify early- and mid-lifecycle behaviors that predict long-term expansion, including second-product adoption, higher-tier plans, and add-on attachment.

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Translate behavioral and revenue data into segment-level insights that shape product priorities, growth initiatives, marketing investment, and go-to-market decisions.

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Model the B2B2C customer journey, including agency signup, sub-account activation, adoption, and expansion, to identify where customer value compounds or is lost.

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Partner with experimentation and causal-inference specialists to design and evaluate growth experiments rigorously, distinguishing causal effects from correlation.

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Collaborate with Product Strategy, Growth, and other teams on trial-to-paid conversion, churn, and add-on initiatives to establish shared definitions and analytical models.

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Set the technical direction for company-wide customer-growth measurement, including canonical metrics, segment definitions, and customer-value models using governed and certified data.

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Develop reusable frameworks and methodologies for growth measurement and causal inference that Analytics Engineering and adjacent Data Science teams can adopt.

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Serve as a trusted analytical advisor to Growth, GTM, Finance, and Product leaders, translating complex analysis into clear, decision-ready recommendations.

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Influence roadmaps, investment decisions, and growth strategies through rigorous analysis without directly owning those functions.

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Establish analytical standards for adjacent Data Science and Analytics teams, raising the quality and consistency of growth measurement across the organization.

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Identify data gaps and collaborate with Analytics Engineering to improve the event taxonomy and data foundation required for funnel and customer-value analysis.

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Use AI-assisted tools to accelerate exploration, documentation, analysis, and other analytical workflows.

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Help establish reusable patterns and scalable foundations that can support the customer-growth mandate as the organization grows.

Requirements

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9+ years of experience in product or growth analytics, data science, applied statistics, or a closely related discipline, with substantial experience across activation, retention, conversion, and expansion.

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Demonstrated experience building a metric, measurement, or customer-value framewo