Senior Data Scientist — Dynamic Pricing & Fulfilment

Gotogroup; Jakarta Pusat; Hybrid; IDR 400,000,000 - 800,000,000; Full time

Benefits offered by this job

Real-time ML experience

Cloud platforms (GCP/AWS/AliCloud)

Open-source contributions

Job summary

GoTo Group is seeking a seasoned Data Scientist for the Fulfilment team at Gojek to tackle high-impact pricing and optimization challenges across ride-hailing, food delivery, and logistics. You’ll collaborate with product managers, engineers, and business stakeholders to deploy data-driven solutions that balance customer demand, driver earnings, and merchant needs.

You will own the full ML lifecycle—from ideation to deployment—while applying econometrics, causal inference, and real-time

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or a related quantitative field.

Responsibilities

• Translate complex business challenges into well-defined technical problems solvable with data, statistics and machine learning.
• Collaborate with product managers, engineers, and business stakeholders to build and scale data science solutions that power pricing across ride-hailing, food delivery and logistics.
• Own the full ML lifecycle—from ideation and research to model development, pipeline implementation, deployment, experimentation, and driving measurable business outcomes.
• Improve the efficiency of the dynamic pricing system using techniques from econometrics, causal inference and simulation.
• Design and interpret experiments to measure model impact and ensure rigorous evaluation and clear success metrics.
• Monitor and evaluate model performance, identify areas for improvement, and propose solutions.
• Communicate insights, trade-offs, and technical decisions to cross-functional stakeholders with autonomy in ambiguous problem spaces.

Job description

GoTo Group is seeking a seasoned Data Scientist for the Fulfilment team at Gojek to tackle high-impact pricing and optimization challenges across ride-hailing, food delivery, and logistics. You’ll collaborate with product managers, engineers, and business stakeholders to deploy data-driven solutions that balance customer demand, driver earnings, and merchant needs.

You will own the full ML lifecycle—from ideation to deployment—while applying econometrics, causal inference, and real-time