About the team
This role is part of a Data Science team that supports the Capacity & Optimization function at TikTok USDS that is responsible for managing the computing resources that powers the TikTok platform. Key areas that our team focuses on include:

- Machine allocation and budgeting
- Resource optimization (compute, storage, network, etc.)
- Data center resiliency / Disaster recovery

Data is at the core of decision making within the Capacity & Optimization team. Resource management and optimization is a company-wide priority; the projects you work on will have high visibility and immediate impact. Come join us and play a pivotal role in laying down foundational data infrastructure to support resource capacity decision making at TikTok.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities
As a data scientist on the team, you will have the exciting opportunity to:
- Deep dive into data sources, develop metrics, and generate insights to direct strategy on resource management.
- Develop models and advanced analytical solutions to improve utilization rates and forecast future resource needs.
- Design and implement data-backed processes to ensure efficient machine allocation and reduce idle machine counts.
- Work cross-functionally with business leaders, finance teams, site-reliability engineers, and technical program managers.