Product Analytics Data Scientist: Drive Growth

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

Short-term disability

Long-term disability

Life insurance

Wellbeing benefits

10 paid holidays

10 paid sick days

17 days paid personal time

Job summary

TikTok USDS Joint Venture LLC seeks a data scientist for the Core Business Data Science group to build analytics solutions that support growth on the TikTok app. You will conduct product analytics, explore data sources, and communicate insights to suggest improvements end-to-end.

The role emphasizes designing and monitoring core metrics, and building models to deliver superior business outcomes while communicating with both technical and non-technical audiences.

Qualifications

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

Responsibilities

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

Skills

SQL

Python

R

Data analysis

Communication

Education

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

Tools

Large data sets

Job description

TikTok USDS Joint Venture LLC seeks a data scientist for the Core Business Data Science group to build analytics solutions that support growth on the TikTok app. You will conduct product analytics, explore data sources, and communicate insights to suggest improvements end-to-end.

The role emphasizes designing and monitoring core metrics, and building models to deliver superior business outcomes while communicating with both technical and non-technical audiences.