Product Analytics Scientist - Drive Growth with Data

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 144,000 - 329,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok USDS Joint Venture LLC is hiring a data scientist to power core analytics for the TikTok main app. You will conduct product analytics, build models, and monitor key metrics to drive growth.

The role requires strong SQL and Python (or R) skills and the ability to communicate insights to mixed audiences. The team emphasizes rigorous analysis, data source evaluation, and delivering actionable recommendations.

Qualifications

• Minimum Qualifications: BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields.
• Experience with SQL, Python, or R.
• Experience navigating and working with large data sets using SQL.
• Self-motivated, detail-oriented, learn autonomously, and highly organized.
• Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.

Responsibilities

• Conduct product analytics to provide product recommendations that drive product growth.
• Deep dive into data sources, understand their limitations, and communicate complex data insights through exploratory analysis and research to suggest improvement.
• 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

Education

BS/MS in Computer Science, Math, Economics, Statistics, or related fields

Job description

TikTok USDS Joint Venture LLC is hiring a data scientist to power core analytics for the TikTok main app. You will conduct product analytics, build models, and monitor key metrics to drive growth.

The role requires strong SQL and Python (or R) skills and the ability to communicate insights to mixed audiences. The team emphasizes rigorous analysis, data source evaluation, and delivering actionable recommendations.