What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 6+ years of industry data science or analytics experience at senior or staff level scope
- Self-driven and able to find valuable problems without being assigned
- Comfortable working through ambiguity and messy systems
- Broad technical fluency across engineering and data infrastructure
- Strong quantitative intuition and reasoning under uncertainty
- Experience across marketing product finance and operations
- Sharp communication skills with leadership-ready recommendations
Nice to have
- Founder mindset
- Probabilistic thinking
- High judgment
- Curious
- Independent
- Cross-functional
Day to day
- Proactively identify high-leverage opportunities for data science across marketing product finance and operations.
- Lead ambiguous high-stakes investigations end to end and turn findings into clear actionable recommendations.
- Own core data models and metric definitions while working closely with engineering and AI tools to accelerate analysis.
- Drive self-serve AI-assisted analytics and raise the rigor and judgment of the broader team.