Program Intern-Data Science (TikTok-Live-DS) - 2025 Start

Singapore, Singapore

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About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About Our Team
TikTok LIVE, as a novel content format, creates value for all stakeholders within the ecosystem. Live streaming offers users a unique content experience and consumption journey. For creators, it connects them with the right audience and provides the best tools and a range of monetization models. The platform, in turn, benefits from a healthy and objective revenue share, making live streaming one of TikTok's three main sources of income.
There is a wonderful symbiotic relationship between creators and the platform. We help creators build a livelihood and change their lives, and as a platform, we also benefit and continue to grow. We often hear stories like "LIVE changes my life." When they thrive, we thrive.
Join us to explore the "impossible." We are pioneers in the industry, gradually transforming it. We continuously demonstrate that live streaming is a new content format and a reliable business model for creators. Just a few years ago, no one could have imagined the state of live streaming today. Now, hundreds of partners join us every month to support creators. In the foreseeable year ahead, we will also witness the new changes and developments that e-commerce will bring to live streaming.

Responsibilities:
1. Responsible for data analysis related to international live streaming, including optimizing viewing experiences, analyzing the host ecosystem, managing guild operations, and evaluating recommendation effectiveness.
2. Design key performance indicators (KPIs) for business directions, build corresponding monitoring systems, and conduct anomaly analysis.
3. Apply statistical methods to conduct scientific evaluations, including A/B testing and causal inference.
4. Gain a deep understanding of business objectives, use data mining to generate insights, identify potential optimization areas, and provide data-driven support for business decisions. Collaborate with product managers, recommendation engineers, and developers to implement optimizations.
5. Explore and summarize analytical methodologies, research data science theories, and iterate data products to improve analysis efficiency.
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Tags: A/B testing Causal inference Data analysis Data Mining E-commerce KPIs Research Statistics Streaming Testing

Region: Asia/Pacific
Country: Singapore

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