Lead Data Scientist - Growth
About The Position
This role is for a Lead Data Scientist - Growth, reporting directly to the VP of Product Growth. The position is embedded in the growth team as the first dedicated data hire. The role involves connecting disparate data systems (usage events, product analytics, GTM data, and financial data) to enable statistical modeling, deep analysis, running experiments, and creating dashboards. The individual will be responsible for sharing insights as a team sport, surfacing what's working and what isn't, and automating repetitive tasks to allow the team to learn and iterate faster. The role is for a builder looking to create high impact within a growth team that treats data science as a core component from day one.
Requirements
- Minimum 5 years in a growth analytics role at a high growth tech company
- You've worked with event-level data pipelines and know what good instrumentation looks like
- You can design an experiment properly, including telling the team when the sample size isn't there
- You can run deep analysis to derive meaningful next set of actions for the team
- You can build a predictive model without a dedicated ML team
- You're comfortable working before the infrastructure is ready
Responsibilities
- Showing up as a strategic partner, not just an insights function — contributing ideas alongside Product, Design, and Engineering from the start, not only when there's an experiment to analyze
- Building the data infrastructure that connects usage events, product analytics, GTM data and financial data
- Defining and instrumenting the leading indicators and north star metrics for key outcomes like activation and expansion, alongside the product team
- Designing and analyzing experiments across the funnel, including power analysis before tests run, hypotheses building and speaking up early when the sample size won't support a real conclusion
- Building predictive models iteratively
- Owning insights and sharing them widely — proactively surfacing what's working and what isn't, rather than waiting for the next scheduled update, so the whole pod can move on what's learned
- Creating the reporting layer that keeps the team honest about what's actually working, automating wherever possible to free up time for judgment and interpretation over manual reporting
- Bringing AI to push our limits
Benefits
- Comprehensive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
