Principal Data Scientist: Causal Inference & Promotions

GoTo Group

Singapore

On-site

SGD 250,000 - 360,000

Full time

14 days+
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Job summary

GoTo Group in Singapore is seeking a Principal Data Scientist to lead the science behind voucher and incentive programs across food delivery, ride-hailing, and logistics. You will design production-ready causal models, mentor senior scientists, and partner with product, engineering and business teams to drive efficiency metrics and growth.

You will own end-to-end modelling, uplift estimation, budget-constrained allocation, and experimentation rigor, tackling billions in promotion spend and

Qualifications

  • Minimum 8+ years in data science or ML with production causal inference experience.
  • Hands-on expertise in uplift estimation methods and causal forests.
  • Experience optimizing promotions or incentives with measurable impact.
  • Strong knowledge of experimental design and observational causal methods.

Responsibilities

  • Lead end-to-end modelling for promotion optimization from framing to deployment.
  • Advance our causal inference stack with robust experimental designs.
  • Design scalable uplift models for millions of users with offline evaluation.
  • Develop budget-constrained allocation under fairness and business constraints.
  • Mentor data scientists and align analyses with product and business goals.

Skills

Causal inference
Uplift modelling
Promotion optimization
End-to-end modelling
Leadership
Experimentation design
Stakeholder communication

Education

PhD or Master’s in a quantitative field

Tools

Python
SQL

Job description

GoTo Group in Singapore is seeking a Principal Data Scientist to lead the science behind voucher and incentive programs across food delivery, ride-hailing, and logistics. You will design production-ready causal models, mentor senior scientists, and partner with product, engineering and business teams to drive efficiency metrics and growth.

You will own end-to-end modelling, uplift estimation, budget-constrained allocation, and experimentation rigor, tackling billions in promotion spend and

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