Staff Data Scientist – Growth & Expansion

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the customer growth outcomes throughout the entire process, including onboarding, activation, transitioning from trial to paid, multi-product adoption, and revenue expansion.

• Identify behaviors in the early and mid-lifecycle that indicate potential for expansion and develop a prioritized growth strategy based on these insights.

• Link product signals with go-to-market (GTM) marketing expenditures and finance growth objectives.

• Model the B2B2C relationship involving agency-to-sub-account activation and expansion.

• Collaborate on the design and thorough interpretation of growth experiments.

• Create shared definitions and frameworks for trial-to-paid conversions, churn rates, and add-on services.

• Set the technical direction for comprehensive customer growth measurement, including standardized metrics, segment definitions, and value models.

• Develop scalable growth measurement and causal inference methodologies.

• Convert analytical findings into actionable insights for Growth, GTM, Finance, and product leadership.

• Serve as a reliable analytical consultant and establish standards to be embraced by related data science and analytics teams.

• Identify data deficiencies and refine the event taxonomy that supports the funnel and value model.

• Utilize AI tools such as Claude for exploration, documentation, and analytical purposes.

• Report centrally to Product Analytics & Data Science regarding best practices and standards.

• Contribute to building a strong foundation that allows the customer growth initiative to scale beyond a single contributor.

⛳️ Requirements

• 9+ years of experience in product or growth analytics, data science, or applied statistics.

• Extensive experience in activation, retention, conversion, and expansion strategies.

• Proven track record of creating a metric or value framework utilized by various teams to drive results.

• Strong background in applied statistics with the ability to design analyses focused on causal questions.

• Proficient in collaborating on experiments, including A/B testing design, power analysis, guardrails, and result interpretation.

• Solid SQL skills.

• Working knowledge of Python.

• Comfort with Snowflake and dbt environments.

• Experience in transforming behavioral and revenue data into segment-level insights that influence product, growth, or GTM strategies.

• Ability to work effectively with incomplete or evolving data and governed sources.

• Capacity to influence Growth, GTM, Finance, and product leaders without direct authority.

• Background in B2B SaaS, CRM, or product-led growth, particularly in freemium/trial and land-and-expand strategies.

• Familiarity with usage-based or consumption revenue models and add-on revenue streams.

• Knowledge of Statsig or a similar experimentation platform.

• Experience with AI-assisted analytics workflows.

• Proven mentorship experience with analysts.

🏝️ Benefits

• Remote-first workplace.

• Equal Opportunity Employer.

• Collection of voluntary demographic information for compliance purposes, with no impact on the status of applications.