14 часов назад
Lead Data Scientist - Pricing System (Fulfillment)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist - Pricing System (Fulfillment) (Machine Learning/Pricing): Building and scaling real-time data science solutions for dynamic pricing across ride-hailing, food delivery, and logistics with an accent on econometrics, causal inference, experimentation, and machine learning. Focus on designing pricing models and pipelines, evaluating model impact, and solving complex supply-demand and fulfillment challenges at millisecond-scale latency.
Location: Singapore; hybrid workplace
Company
operates Gojek and GoTo Financial, with real-time services supporting ride-hailing, food delivery, logistics, and other on-demand products.
What you will do
- Translate complex business challenges into technical problems solvable with data, statistics, and machine learning.
- Build and scale data science solutions powering pricing across ride-hailing, food delivery, and logistics.
- Own the full machine learning lifecycle, from research and model development through pipeline implementation, deployment, experimentation, and business impact measurement.
- Improve dynamic pricing using econometrics, causal inference, and simulation.
- Design experiments, define success metrics, and evaluate model performance with analysts and product teams.
- Communicate insights and technical trade-offs while working autonomously with product managers, engineers, and business stakeholders.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or a related quantitative field.
- 5–8 years of relevant experience, including experience with a core dynamic pricing engine in ride-hailing or a similarly dynamic domain.
- Strong understanding of statistics and machine learning fundamentals.
- Proficiency in Python and SQL, with familiarity with data analysis or modeling libraries.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Ability to take initiative, learn quickly, and work through ambiguous problems.
Nice to have
- Experience with Jupyter, Git, Docker, software development workflows, or real-time machine learning systems.
- Familiarity with GCP, AWS, AliCloud, or modern data stack tools.
- Open-source contributions or other public showcases of data science work.
Culture & Benefits
- Work with rich datasets, cross-functional partnerships, and modern MLOps infrastructure.
- Build solutions for real-time engines processing millions of orders daily.
- Support personal and professional development within the fulfillment team.
- Team activities include table tennis, traveling, and shared food experiences.
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