Data Science Project Intern (TikTok Platform Responsibility) - 2026 Start (BS/MS)

Description du poste:

TikTok's Data Scientist team is a critical component of the platform's success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. As a Data Scientist Intern, you will work closely with Product Managers, Engineers, and other Data Scientists to analyze user behaviour, define metrics, design experiments, and deliver data-driven insights that shape product direction. - Design and implement comprehensive metrics and quantitative measurement frameworks to evaluate the effectiveness of risk control . Continuously refine measurement methodologies to track risk control capabilities accurately. - Mentored by senior DS to work on strategic planning by analyzing industry trends, competitive landscapes, and internal data. Translate insights into actionable business plans to improve platform safety and policy operability. - Partner with stakeholders to achieve targets using data-driven approaches, such as monitoring policy impacts on risk control capabilities, leveraging statistical methods to establish an efficient decision-making system, standardizing reusable analytical methodologies and tools to enhance team efficiency. - Collaborate with XFN teams to align priorities, communicate data-backed recommendations, and drive implementation. Foster organization-wide adoption of data-inspired practices

Profil requis du candidat:

Minimum Qualifications: - Currently pursuing an Master in Math, Statistic, Data Science, Machine Learning, or a related technical discipline. - Expertise in SQL and programming in Python or R. - Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges. Preferred Qualifications: - Experience of LIVE related business. - Knowledge of machine learning and recommendation systems. - Experience with big data technologies. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy If you have any questions, please reach out to us at apac-earlycareers@tiktok.com