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GoTo Group is seeking a Principal Data Scientist to lead the scientific strategy behind voucher and incentive programs across food delivery, ride-hailing, and logistics. The role combines hands-on technical leadership with organizational influence, focusing on causal modeling to optimize promotional spend allocation across millions of weekly consumers.
Key responsibilities include:
- Setting the scientific direction and causal modeling framework for the incentives portfolio
- Designing and validating models that determine how millions in promotional spend are allocated
- Mentoring and developing senior data scientists on the team
- Partnering with product, engineering, and business stakeholders to drive efficiency metrics, transaction growth, and customer retention
- Establishing causal inference best practices and standards across the organization
- Translating business questions into rigorous statistical experiments and analyses
This is a high-impact role where your work directly influences business outcomes. You'll work with large-scale consumer data, design experiments to measure true incrementality, and help the organization move from correlation to causation in decision-making. The position requires both deep technical expertise in causal inference and the ability to lead, mentor, and influence across functions.
