Staff Data Scientist – Growth & Expansion

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

Posted 9/26/2026full-timeRemote • IndiaLeadWebsite

Tools & technologies

PythonSQL

Key responsibilities & impact

Own the customer-growth outcome end to end across onboarding, activation, trial-to-paid, multi-product adoption, and expansion revenue
Identify early and mid-lifecycle behaviors that predict expansion and turn findings into a prioritized growth agenda
Connect product signals to GTM/marketing spend and Finance growth targets
Model the B2B2C dynamic of agency-to-sub-account activation and expansion
Partner on rigorous growth experiments and distinguish causal from correlational claims
Partner with Product Strategy & Growth on TTP/churn and add-ons charters
Set company-wide technical direction for customer-growth measurement, canonical metrics, segment definitions, and value models
Build reusable growth-measurement and causal-inference methods
Translate findings into decision-grade guidance for Growth, GTM, Finance, and product leaders
Advise Growth, GTM, and Finance leaders and set analytical standards for adjacent teams
Flag data gaps to Analytics Engineering and shape the event taxonomy
Use AI tooling such as Claude to accelerate exploration, documentation, and analysis

What you’ll need

9+ years in product/growth analytics, data science, or applied statistics, with deep experience across activation, retention, conversion, and expansion motions
Track record of building a metric or value framework used by multiple teams to drive real outcomes
Strong applied statistics, including designing analysis to causal questions and understanding correlational failure modes
Fluency partnering on experiments, including A/B design, power, guardrails, and honest result interpretation
Strong SQL and working proficiency in Python
Comfort in a Snowflake and dbt environment
Experience turning behavioral and revenue data into segment-level insight that changed a product, growth, or GTM decision
Comfort working with imperfect, in-progress data and consuming governed sources
Ability to align Growth, GTM, Finance, and product leaders on shared numbers without direct authority
B2B SaaS, CRM, or product-led growth background, especially freemium/trial and land-and-expand motions
Usage-based/consumption or add-on revenue exposure
Familiarity with Statsig or a comparable experimentation platform
Exposure to AI-assisted analytics workflows
Experience mentoring analysts

Comp & perks

Global, remote-first organization
Opportunity to work with a global team across 10+ countries
Path to grow a pod as the mandate scales
AI tooling (Claude and similar) provided for exploration, documentation, and analysis