Lead Data Scientist - Platform Product

at  TikTok

Responsibilities
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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok’s purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That’s how we drive impact-for ourselves, our company, and the users we serve. Join us.
Team Introduction
The Platform Product Management team is under TikTok Trust and Safety. Their goal is to keep the platform running smoothly and to guarantee user safety. We are Data-TnS data product & general service team. Our team mainly services TnS business and provides data solutions and data insights for the business.

Responsibilities

• Own large-scale quantitative analysis projects from start to finish, including developing metrics, creating analytical frameworks and distilling complex results into clear and concise insights;
• Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.
• Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features.
• Collaborate closely with Product, Engineering, Algo, Operation and other teams to solve problems and identify business opportunities
• Research data science theories and methodology to evaluate and improve various CV/NLP models, LLMs.

Qualifications

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or above, preferably in mathematics, computer science, statistics, engineering, or related fields
• Experienced in adopting scientific methods to solve business problems;
• Experienced in collaborating with cross-functional teams, communicating across effectively and efficiently;
• Ownership; proactive, skillful, candid and clear communication; ability to handle high complexity, urgency, cross-functional alignment; stay empathetic.
• Team management experience. Experience in leading, managing and coaching team members.

PREFERRED QUALIFICATIONS:

• Experience working in content safety related area.
• Possess at least one advantage among content understanding/ moderation, machine learning, measurement-and-experiment-driven product iteration, LLM applications, LLM evaluation, Prompt Engineering.
• Ability to synthesize and communicate complex concepts and analyses in a coherent and comprehensive way;
  TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too

• Own large-scale quantitative analysis projects from start to finish, including developing metrics, creating analytical frameworks and distilling complex results into clear and concise insights;
• Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.
• Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features.
• Collaborate closely with Product, Engineering, Algo, Operation and other teams to solve problems and identify business opportunities
• Research data science theories and methodology to evaluate and improve various CV/NLP models, LLMs