Data Scientist - Tiktok Live

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 UsCreation is the core of TikTok's purpose.
Our platform is built to help imaginations thrive.
This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, 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 communities we serve.
About the TeamTikTok'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.
Job Description- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.- Identify growth opportunities with data analytics, and drive business decisions.
Work with PM/MLE/RD to deliver product and strategy improvement.- Research data science theories and methodology, improve analysis efficiency and data product tools.
Minimum Qualifications:- Bachelor's degree with 1+ years of related work experience.- 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.