Senior Data Scientist, Research - TikTok

Responsibilities

TikTok-Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including Privacy, User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.

The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different regions.

Responsibilities - What You'II Do
- Responsible for the design of TikTok's online decision-making mechanism, optimization of experimental frameworks and quantitative evaluation methods, user and content understanding and mining, and other general issues to improve decision-making and analysis efficiency
- In-depth understanding of the difficulties of product and recommendation in experimental evaluation and online decision-making, design reasonable solutions, and promote implementation
- Make advanced statistical or machine learning processing for difficult A/B experiments (weak significance, weak observation, bilateral effects, network effects, etc.), and provide effective analytical conclusions
- Provide effective solutions for deep understanding of users and content through machine learning, statistical mining, LLM, and other technologies

Qualifications

Minimum Qualifications:
- Master's degree or above, major in statistics, mathematics, economics, computer science, or related fields
- Research or work experience in statistics, causal inference, experimental science, time series, machine learning, deep learning
- Proficient in Python/R, familiar with common big data technologies such as Hadoop, Spark, Hive

Preferred Qualifications:
- Ability to analyze and solve problems, excellent cross-team communication and collaboration skills, enthusiastic about challenges
- Basic understanding of recommendation systems, in-depth knowledge of recommendation algorithms

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $176356 - $395280 annually.