Senior Data Scientist for Allocation and Driver Incentives

Gotogroup; Jakarta Pusat; On-site; IDR 450,000,000 - 750,000,000; Full time

Job summary

GoTo Group, through its Gojek Fulfilment team, is seeking a Senior Data Scientist to translate business challenges into scalable ML solutions for driver allocations, surge pricing, and incentives.

You will collaborate across product, engineering, and business stakeholders, owning end-to-end ML lifecycle from ideation to deployment and measurement of business outcomes in a fast-moving environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or related quantitative field.
• Solid understanding of statistics and ML fundamentals with practical applications.
• Proficiency in Python and SQL, and familiarity with data analysis libraries.

Responsibilities

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

Skills

Python

SQL

Statistics

Machine Learning

Cross-functional teamwork

Education

Bachelor's or Master's in Computer Science/Statistics/ML

Job description

GoTo Group, through its Gojek Fulfilment team, is seeking a Senior Data Scientist to translate business challenges into scalable ML solutions for driver allocations, surge pricing, and incentives.

You will collaborate across product, engineering, and business stakeholders, owning end-to-end ML lifecycle from ideation to deployment and measurement of business outcomes in a fast-moving environment.