Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation 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.
Join us.

The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better commerce experience to our users.
The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more inclusive, honest and efficient working atmosphere, and sincerely invite outstanding data scientists to build a first-class e-commerce platform.

Responsibilities:
1. Develop a comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business/user product;
2. Collaborate with the product team to identify growth drivers and develop a quantitative measurement approach;
3. Partner closely with key stakeholders to optimize overall product adoption and performance-driven growtl Provide recommendations for improvements to achieve business goals;
4. Seek insights and scale insights through developing systematic and comprehensive data solutions;
5. Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.

Qualifications

1. Masters degree or above, major in mathematics, statistics, computer science is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;
2. At least 3 years of working experience in data science track, and background & experience in business product/short videos/ ecommerce preferred;
3. Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling;
4. Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice
5. Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;
6. End-to-end ownership: embrace the ownership mindset
7. Be proactive:identify potential areas of improvement and take action to address them;
8. Have a strong learning ability and curiosity; Quickly familiar with and starting a new business; Can lead a small project team to support business;
9. Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ecommerce.accommodations@tiktok.com