Product Data Scientist - Applied AI

Data Cycling Center (DCC) is a Data Science team that develops AI-driven content (unstructured data) understanding capabilities, identifies business opportunities from the understanding, and builds products and solutions to capture those opportunities.

Our mission is to simplify the acquisition and utilization of unstructured/unlabeled data. The team act as the data modeling factory, using and analyzing mass data and finding useful insights for business growth.

About the role
As an Applied Al Data Scientist at the Applied AI team, you'll work at the intersection of data science, algorithm innovation, and content ecosystem research. You will collaborate closely with product and algorithm teams to identify actionable insights and build scalable solutions that improve user experience, strengthen content integrity, and support strategic decision-making.

Key Responsibilities:
• Apply data science methods and statistical theory to analyze TikTok's content ecosystem and recommend strategies for improvement.
• Design and define core KPI metrics that measure the health, stability, and fairness of content systems; evaluate trade-offs across different strategies or product interventions.
• Use statistical sampling methods to determine appropriate sample sizes and ensure core metric robustness.
• Build frameworks to assess multi-business content flows, balancing risks from negative content while promoting positive content signals.
• Conduct quantitative research using causal inference, statistical modeling, and experimentation to detect risks and opportunities in the content ecosystem and propose strategic improvement plans supported by unbiased data-driven indicators.

Minimum Qualifications:
1) Advanced degree (Master's or Ph.D.) in Statistics, Computer Science, Applied Mathematics, Data Science, or a related quantitative field.
2) Strong foundation in statistics and A/B testing methodologies, including sampling theory and experimental design of unbiased metrics for business decision-making.
3) Skilled in key data science tools and techniques, including machine learning models, causal inference, prediction, and optimization.
4) Proficient in SQL and at least one programming language for data analysis (e.g., Python).
5) Demonstrated structured thinking and product intuition, with the ability to translate analytical insights into business decisions.
6) Based on data science methods and statistical theory, collaborate with TikTok content ecology related products, algorithm teams to explore ways to improve user experience.
7) Strong problem-solving capabilities, with a track record of working effectively in fast-paced and cross-functional global teams with excellent communication and collaboration skills.

Preferred Qualifications:
• 1-3 years of industry experience in data modeling/analysis and advanced degree in quantitative discipline.
• Experience with prompt engineering, large language models (LLMs), and emerging Al methods is a plus.
• Experience in data project management, and solid foundations of maths and algorithms
• Excellent communication in English, with the ability to quickly respond to complex projects in collaboration with global stakeholder teams.