User Growth Data Scientist (Recommended Direction)-TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

About the team

The user growth team is a multiple functional and regional team and we take responsibility for driving user growth by including but not limited to product, marketing, and partnership approaches, not only focusing on new user acquisition but also focusing on users retention.

1.Analyzing key issues in the algorithm chain: Have an in-depth understanding of the user growth business, work closely with algorithm colleagues in user acquisition, user activation, etc., put forward optimization suggestions, and provide insights for algorithm-driven short video business growth

2.Experimental Data Science Analysis: Through the design and analysis in A/B experiments, propose optimization suggestions for recommendation strategies. Meanwhile, design statistical methods to improve statistical power from the perspective of experimental science, solve statistical problems encountered by strategies, and enhance the efficiency of strategy iteration

3.Constructing the recommendation indicator system: Driven by goals, formulate growth recommendation indicator system, set effective ultimate indicators and intermediate indicators, and drive the effective implementation of algorithm work and achieve benefits.

Qualifications

Minimum Qualifications:

1.Master's in Accounting, Statistics or Mathematics

2.2+ years of experience in a quantitative role focused on A/B testing platforms, data mining, or statistical modeling. Direct experience with content recommendation algorithms is required.

3.Expert proficiency in Python for statistical analysis and data modeling. Proficiency in SQL is required.

4.Proven ability to transform complex business problems into quantitative frameworks that directly influence product and algorithm decisions, with measurable impact.

5.Intrinsic curiosity and a documented ability to uncover and solve fundamental problems through data