Data Scientist Graduate (Multimedia) - 2027 Start

The Multimedia Data Scientist team at TikTok focuses on optimizing the app experience for users through data-driven solutions. Collaborating with various teams to enhance content creation journeys, utilizing statistical models and data mining techniques to identify opportunities for personalized user publishing experiences.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

• Develop the experience metric system and the corresponding monitoring capability across different stages of creation
• Conduct experimentation, define launch standards and provide suggestions on experiment iterations
• Quantify the impact of creation tool performance on user behavior, such as publish rate, retention, and engagement
• Use data mining for understanding user needs and build models that enable personalized publishing experience
• Work with various partners on landing solutions that meet the needs for evolving products
• Build systemic problem solving capability and research on cutting-edge methodologies

• Individuals who are completing or have recently completed a Master's degree in data science or a related discipline.
• Experience in working on mobile application performance analysis and user experience optimization
• Experience working with creation-oriented user behavior
• Proficient in SQL and Python; experience with big data tools such as Hive or Spark.
• Strong background in A/B testing, metric design, and causal inference.

• Experience within the entertainment industry, streaming, social applications.
• Experience working in a fast-paced environment with rapid product iterations.

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