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About the role
Key responsibilities & impact- Own the customer value narrative: Build and maintain the infrastructure that lets every customer (and our sales team) articulate Verify's ROI in dollars and percentages
- Ship production ML systems: From feature engineering through deployment, monitoring, and iteration
- Create reliable, self-serve data products: Dashboards, APIs, and datasets that scale without manual intervention
- Drive pricing and packaging decisions: Provide the quantitative foundation for how we charge and what we bundle
- Partner across the organization: Work with Product, Engineering, Finance, Sales, and Customer Success to embed data into every decision
- Report to leadership: Own KPI narratives on margin drivers, growth levers, and competitive positioning
Requirements
What you’ll need- 5–8+ years in data science/analytics, with ≥2 years building and shipping data products
- Track record of translating ambiguous business questions into measurable outcomes
- Experience in B2B SaaS, identity/auth, fintech, messaging/telecom, or fraud analytics preferred
- Demonstrated ability to influence product and pricing decisions with data.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningfeature engineeringdata product developmentdata analysisKPI reportingdata visualizationAPI developmentstatistical analysisdata monitoringdata iteration
Soft Skills
communicationcollaborationinfluenceproblem-solvingorganizational skillsquantitative analysisdecision-makingcustomer focusadaptabilitycritical thinking
