Senior Data Scientist, Product - Data Science (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 Design and implement strategies that drive product optimization and efficiency using advanced statistics, machine learning (ML), and programming. Define success metrics and design frameworks to evaluate product performance and business growth, tracking core metrics and understanding root causes of metrics movements. Identify operational and strategic issues through advanced monitoring and forecasting methodologies. Analyze large amounts of information to discover trends and patterns in data through probability and statistical analysis and automate the data collection processes, and present information using data visualization techniques. Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed. Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Mentor interns and junior-level team members.