User Growth Data Scientist (Recommended Direction)-TikTok

Responsibilities

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.

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. 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;
3. Strategy analysis and optimization: Use methods such as statistical analysis and machine learning to mine user behavior signals and provide effective data clues. Through A/B experimental design and analysis, put forward effective optimization suggestions for the iteration of recommendation strategies and formulate scientific indicator evaluation methods.

Qualifications
1. Majors in computer science, statistics, and mathematics are preferred.
2. 2+ years of data analysis work experience, with relevant work experience in data analysis, data mining, and data modeling are preferred. Candidates with relevant work experience in content recommendation algorithms are preferred.
3. Proficient in SQL and familiar with one or more tools in Python/R.
4. Strong business understanding ability, able to transform business scenarios into a quantitative analysis framework, and finally influence final product decisions.
5. Have a strong sense of curiosity, be passionate about challenges, and be good at discovering problems through data mining.

Job Information
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.