Data Scientist Project Intern (Data Acquisition) - 2026 Start (BS/MS)
Core
Design and implement matching algorithms and probabilistic models for task allocation and confidence scoring to improve operational efficiency in data labeling workflows.
Role type
Data Science Intern (Algorithm Development & Optimization)
Builds
Robust features for allocation decisions and confidence assessments within TikTok's data labeling systems
Domain
Data labeling operations, algorithmic optimization
Deliverable
production ML models
Required skills
Python, machine learning algorithms, optimization techniques, statistical modeling, SQL, feature engineering, A/B testing, exploratory data analysis
Responsibilities
Design and implement matching algorithms and probabilistic models for task allocation; Extract meaningful signals from labeler performance data and system logs to build robust features; Design and execute A/B tests, simulations, and validation experiments; Conduct exploratory analysis on platform data to identify patterns and build predictive models for operational forecasting
Seniority
Intern
