Product Analytics Data Scientist

TikTok USDS Joint Venture; Los Angeles (CA); On-site; USD 137,000 - 313,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

Holidays and PTO

Job summary

TikTok USDS Joint Venture LLC is seeking a data scientist to drive product analytics and growth initiatives for the TikTok main app. You will explore data sources, design core metrics, and translate complex insights into actionable recommendations for business improvement.

Responsibilities include building analytical models, monitoring metrics, and collaborating with cross-functional teams to deliver measurable outcomes across the platform. Strong SQL and Python/R skills are required.

Qualifications

• Bachelor's or master's degree in a science/engineering field or related discipline.
• Proficiency with SQL and one of Python or R; able to navigate large data sets using SQL.
• Ability to analyze data rigorously and communicate conclusions to technical and non-technical audiences.
• Self-motivated, detail-oriented, autonomous learning, highly organized.

Responsibilities

• Conduct product analytics to provide product recommendations that drive product growth.
• Deep dive into data sources, understand their limitations, and communicate insights to suggest improvements.
• Design and monitor core metrics; understand root causes of metric movements.
• Design and build advanced analytical solutions and models to deliver superior business outcomes.

Skills

SQL

Python

R

Large datasets

Rigorous analysis

Communication of insights

Education

BS/MS in CS, Math, Economics, Statistics, or related fields

Job description

TikTok USDS Joint Venture LLC is seeking a data scientist to drive product analytics and growth initiatives for the TikTok main app. You will explore data sources, design core metrics, and translate complex insights into actionable recommendations for business improvement.

Responsibilities include building analytical models, monitoring metrics, and collaborating with cross-functional teams to deliver measurable outcomes across the platform. Strong SQL and Python/R skills are required.