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The Vice President, Data Science is responsible for setting the vision and leading execution as Duetto evolves from heuristic-based approaches to ML-powered forecasting, pricing, and decisioning. This role exists to build a world-class team, establish a durable science practice, and deliver measurable outcomes through tight partnership with the Apps and Platform organizations to ultimately drive agentic workflows that help operators run a better business.
Job Responsibility:
Builds the intelligence engine (algorithms, models, and insights) that powers Duetto’s industry-leading RP-OS and creates significant value for customers
Leads the vision for the long-term opportunities to leverage data, ML, and AI to create value
Sets a multi-year data science strategy that balances high-uncertainty research with the pragmatic delivery of the RP-OS roadmap
Visions the evolution toward agentic workflows, providing the technical blueprint for moving from fragmented, manual decisions to unified, intelligent automation
Leads and continually raises the bar for a high-performing organization across Data Science Product Management, Analytics, ML Platform, and R&D to drive professional excellence
Builds the business case and allocates resources and departmental budget effectively, making strategic tradeoffs between model performance, system latency, and operational costs
Influences peers in Engineering and Product to ensure data science capabilities are integrated into intuitive UX and scalable platform patterns
Capitalizes on scientific research—including causal methods and optimization—to improve forecasting accuracy and pricing integrity
Presides over a rigorous research culture that prioritizes reproducibility, global scale evaluation, and 'decision-grade' product analytics
Secures the platform’s reputation by establishing 'Responsible AI' guardrails, ensuring all models meet high standards for auditability, transparency, and data governance
Achieves long-term strategic OKRs that redefine Duetto’s competitive position as the intelligence leader in hospitality technology
Communicates the vision and execution with wider organization, the executive leadership team and board of directors
Perform other related duties as needed to support team and company priorities
Requirements:
12+ years of professional experience
5+ years of data science and product leadership
Experience operating production-grade data science organizations
Track record of delivering business outcomes from innovative, data science-driven product development
Proven expertise in managing the 'model lifecycle' within high-scale SaaS environments
Deep technical judgment in causal methods, forecasting, pricing optimization, and experimentation in real-world commercial settings
Experience building or partnering on ML Platforms (MLOps) including monitoring, deployment modes, and CI/CD for ML
Exceptional leadership skills with a track record of hiring, developing, and high-grading technical talent across multiple sub-functions
Nice to have:
Advanced degree in computer science, operations research, or similar analytical area
Specialized skills, knowledge, or experience within the Hospitality technology industry, specifically revenue management
Experience scaling ML across many 'tenants' with heterogeneous data behavior
Experience operating in privacy/security-constrained environments or regulated decision-intelligence systems