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
Develop long-range business forecast models and run scenario analysis to understand the implications of a variety of business decisions on key metrics and share the insights with cross-functional team to influence strategic decisions.
Develop analytic framework in partnership with internal teams to quantify business impact, diagnose issues, and to bring insights using internal and external data.
Define core metrics, build essential data tracking dashboard, and identify opportunities from our database and convert the insights into real changes/new features.
Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough.
Conduct experimentations to analyze user behavior and optimize for the best outcome regarding core metrics.
Improve data foundations and excel in product logic thinking using data-driven analysis and brings distinctive problem-solving skills and impeccable business judgment.
Define KPIs and develop analytic framework to evaluate on-platform assets engagement and drive continuous UI/UX iterations via A/B testing.
Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.
Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
Build classification and clustering machine learning models to understand data characteristics.
Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
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 (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.