Job Description

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

Conduct deep analyses into user behavior, product features and content ecosystem to generate data-driven business insights, improve user experience and support the company’s growth initiatives.

Analyze large and complex data to discover trends and patterns in data through probability and statistical analysis and automate collection processes.

Drive data-informed decisions on experiment launches and measure the impact of product or technical changes.

Validate hypotheses, identify product growth opportunities, and influence direction for improvement with analyses, experimentation or other scientific methods.

Define and monitor metrics framework to evaluate the performance of products and initiatives and understand root cause of metrics movements.

Present information to internal stakeholders using data visualization techniques to deliver product insights and strategy recommendations.

Collaborate with cross-functional teams, including data engineers and domain experts, to optimize overall project goals.