Role Overview
The Staff Data Scientist, Growth & Expansion will own the customer-growth outcome end to end across Growth, GTM, and product teams, with a focus on identifying early and mid-lifecycle behaviors that predict expansion. The role will involve partnering with Experimentation & Causal Inference lead to design and read growth experiments, and setting the technical direction for how customer growth is measured company-wide.
What You Will Do
The responsibilities of the role include owning the customer-growth outcome end to end, identifying early and mid-lifecycle behaviors that predict expansion, connecting product signal to GTM/marketing spend and Finance’s growth targets, and modeling the B2B dynamic. The role will also involve partnering with the Experimentation & Causal Inference lead to design and read growth experiments, and setting the technical direction for how customer growth is measured company-wide.
Why It Might Be a Fit
The ideal candidate will have a track record of building a metric or value framework that multiple teams drove real outcomes with, and will have strong applied statistics skills, including the ability to design analysis to the causal question and know the failure modes of correlational reads.
Requirements
- 9+ years in product/growth analytics, data science, or applied statistics
- deep experience across activation, retention, conversion, and expansion motions
- strong applied statistics
- fluency partnering on experiments
- strong SQL and working proficiency in Python
- comfort in a Snowflake + dbt environment
- experience turning behavioral and revenue data into segment-level insight
- cross-functional influence
To apply for this job please visit jobs.lever.co.
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