Staff Data Scientist - Growth & Expansion

About the role

The organization operates an AI-powered business operating system that supports agencies, entrepreneurs, and small to medium-sized businesses (SMBs) globally. It addresses challenges of complexity and inefficiency by centralizing conversations, automation, and intelligence into one platform. With extensive infrastructure handling billions of daily API hits and message events, it facilitates scalable business growth and operational performance for over one million businesses across 150+ countries. The STAFF DATA SCIENTIST - GROWTH & EXPANSION role is focused on driving customer growth by providing a comprehensive, data-driven understanding of account activation, multi-product adoption, and expansion within a B2B2C model. This position collaborates across multiple teams including Growth, Go-To-Market (GTM), Finance, and product groups to develop trusted growth metrics and insights that influence strategic decision-making and investment priorities. The role sets standards for measuring growth outcomes and delivers actionable guidance to optimize customer lifecycle stages and revenue expansion.

Responsibilities

• Own end-to-end customer growth metrics across onboarding, activation, trial-to-paid conversion, multi-product adoption, and expansion revenue.
• Identify predictive behaviors for growth beyond initial conversion and establish a prioritized growth agenda.
• Integrate product signals with marketing spend and financial growth targets to create a unified evidence base.
• Model agency-to-sub-account dynamics to reveal compounding value drivers.
• Collaborate with Experimentation & Causal Inference leads to design and interpret rigorous growth experiments.
• Align definitions and models across product strategy and growth teams to avoid duplication.
• Define company-wide technical standards for customer growth measurement using governed data.
• Develop reusable growth measurement and causal inference frameworks for Analytics Engineering and Data Science teams.
• Translate data insights into strategic recommendations for leadership in Growth, GTM, Finance, and product areas.
• Serve as an analytical advisor and set standards adopted by analysts across teams.
• Identify data gaps and influence event taxonomy development critical to growth measurement.
• Utilize AI tools to enhance efficiency in data exploration, documentation, and analysis.

Requirements

• Minimum of 9 years’ experience in product or growth analytics, data science, or applied statistics focusing on activation, retention, conversion, and expansion.
• Proven ability to build metric or value frameworks that deliver measurable outcomes across multiple teams.
• Expertise in applied statistics with a focus on causal analysis and understanding correlational limitations.
• Experience designing and interpreting experiments, including A/B testing.
• Proficiency in SQL and Python within Snowflake and dbt environments.
• Skilled at deriving segment-level insights from behavioral and revenue data to impact product, growth, or GTM decisions.
• Comfortable working with evolving, governed data sources without rebuilding pipelines.
• Strong cross-functional influence to align multiple leadership groups on shared growth metrics without direct authority.