Senior Data Scientist, Real-Time Fulfillment & Incentives

GoTo Group

Singapore

On-site

SGD 120,000 - 190,000

Full time

4 days ago
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Job summary

GoTo Group's Fulfilment data science team spans Singapore, India, and Indonesia, tackling real-world problems to optimise driver allocations, surge pricing, and orders fulfillment. This is a high-impact role shaping driver earnings and customer experience at scale.

As a Senior Data Scientist, you will translate business challenges into data-driven ML solutions, own end-to-end model development and deployment, and collaborate closely with product, engineering, and business stakeholders to drive

Qualifications

  • Bachelor’s or Master’s degree in CS, stats, ML, or related field.
  • Strong stats and ML understanding with practical projects.
  • Proficiency in Python and SQL for data analysis and modeling.

Responsibilities

  • Translate complex business challenges into technical ML problems.
  • Collaborate with product, engineers, and stakeholders to scale data solutions for driver allocations, surge pricing, and incentives.
  • Own the full ML lifecycle from ideation to deployment and measurable outcomes.
  • Improve the efficiency of dynamic driver incentives using ML, causal inference, optimization and simulation.
  • Design experiments to measure model impact with rigorous evaluation.
  • Monitor model performance and propose improvements.
  • Communicate insights and decisions to cross-functional teams with autonomy.

Skills

Statistics fundamentals
Machine learning
Python
SQL
Cross-functional collaboration
Data storytelling

Education

Bachelor's or Master's in CS/Statistics/ML

Job description

GoTo Group's Fulfilment data science team spans Singapore, India, and Indonesia, tackling real-world problems to optimise driver allocations, surge pricing, and orders fulfillment. This is a high-impact role shaping driver earnings and customer experience at scale.

As a Senior Data Scientist, you will translate business challenges into data-driven ML solutions, own end-to-end model development and deployment, and collaborate closely with product, engineering, and business stakeholders to drive

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