Data Scientist - Data Acquisition
Singapore, Singapore
About the Team
The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. The Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. The Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.
About the Role
We are seeking a Data Scientist to lead the development of intelligent decision-making capabilities that enhance operational efficiency, workforce utilization, and task allocation. You will be at the center of a cross-functional initiative to improve how data signals are captured, transformed, and used to guide critical assignments within a scaled delivery framework.
This role requires fluency in building data-driven allocation systems, deep comfort with experimentation and analysis, and the ability to translate real-world challenges into technical solutions using machine learning and statistical modeling.
Job Description
1. Optimisation Modelling: Design and develop data-driven models and frameworks that support intelligent assignment, prioritization, and resource utilization across operational workflows.
2. Feature Engineering: Build and maintain pipelines that transform raw signals such as behavioral data, labelling task attributes, and performance metrics into structured features for decision-making.
3. Project Planning and Execution: Develop and manage project plans, timelines, and budgets for data science initiatives.
4. Stakeholder Management: Communicate project progress, challenges, and results to stakeholders and senior management.
The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. The Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. The Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.
About the Role
We are seeking a Data Scientist to lead the development of intelligent decision-making capabilities that enhance operational efficiency, workforce utilization, and task allocation. You will be at the center of a cross-functional initiative to improve how data signals are captured, transformed, and used to guide critical assignments within a scaled delivery framework.
This role requires fluency in building data-driven allocation systems, deep comfort with experimentation and analysis, and the ability to translate real-world challenges into technical solutions using machine learning and statistical modeling.
Job Description
1. Optimisation Modelling: Design and develop data-driven models and frameworks that support intelligent assignment, prioritization, and resource utilization across operational workflows.
2. Feature Engineering: Build and maintain pipelines that transform raw signals such as behavioral data, labelling task attributes, and performance metrics into structured features for decision-making.
3. Project Planning and Execution: Develop and manage project plans, timelines, and budgets for data science initiatives.
4. Stakeholder Management: Communicate project progress, challenges, and results to stakeholders and senior management.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Data Science Jobs
Tags: Engineering Feature engineering Machine Learning Pipelines Statistical modeling Statistics
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
Singapore
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