Lead Data Scientist (Multiple Positions)

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

Own the analysis of large, complex datasets to solve technical and statistical challenges, and drive the strategic planning and execution of short- and long-term business goals.

Manage the improvement and optimization of product features and systems through statistical research on causal inference, experimentation or other scientific methods.

Perform in-depth analysis of user behavior, product features and systems to identify product growth opportunities, and generate actionable initiatives for senior leadership.

Lead the design and development of product metrics and quantitative measurement structures to track and assess product health, devise experimentation methodology, understand root causes of metric movements and make recommendations for continuous product improvement.

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

Build classification and clustering machine learning models to understand data characteristics.

Partner with cross-functional teams, (i.e. Product Management, Research and Development, and Machine Learning Engineering), to deliver product insights that improve user experience and fulfil business growth.

Mentor and support the development of junior- and mid-level data scientists.