About this role
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.
About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Develop and iterate internal strategies, working with algorithm and product teams to improve recommendation performance and support growth in the E-Commerce ecosystem.
Use causal inference, Machine Learning and other technologies to actively explore opportunities in traffic, products, operations, and strategies.
Complete in-depth special project analysis and provide strategic suggestions through qualitative and quantitative analysis, model construction, and experimental verification.
Partner with stakeholders across product, engineering, and business teams to identity trends, align data science solutions with strategic goals, and to deliver scalable, data-driven improvements.
Conduct A/B test result collection and provide analysis reports as well as strategy improvement recommendations.
Mentor and support junior and mid-level data scientists.