jobs in GO-JEK SINGAPORE PTE. LTD.

全职 Lead Data Scientist - Pricing 工作, 薪水 up to SGD 12,000, GO-JEK SINGAPORE PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Lead Data Scientist - Pricing

GO-JEK SINGAPORE PTE. LTD.

SGD12,000 - SGD12,000 每月

Central Region (Singapore)

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工作地点

  • 5 TEMASEK BOULEVARD Central Region (Singapore) Singapore

职位描述

岗位职责

What You Will Do?

  • 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 our dynamic pricing system using techniques from econometrics, causal inference and simulation
  • Design and interpret experiments to measure model impact, working with analysts and product teams to ensure rigorous evaluation and clear success metrics.
  • Monitor and evaluate model performance, identifying areas for improvement and proposing solutions
  • Communicate insights, trade-offs, and technical decisions effectively to cross-functional stakeholders, and operate with a high degree of autonomy in ambiguous problem spaces.

What You Will Need

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or a related quantitative field, with 5-8 years of relevant experience
  • Experience working on the core dynamic pricing engine for a ride-hailing company or other similarly dynamic domain
  • Solid understanding of statistics and machine learning fundamentals, with projects demonstrating practical application.
  • Proficiency in Python and SQL, and familiarity with data analysis or modelling libraries.
  • Strong analytical thinking and problem-solving skills, with the ability to reason from data and communicate findings clearly.
  • A willingness to learn fast, take initiative, and work collaboratively in a cross-functional team.
  • Curiosity, humility, and a drive to apply data science to real-world problems at scale.

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