Data Science Manager: Growth Analytics Lead

TikTok Inc.; San Jose (CA); On-site; USD 201,000 - 395,000; Full time

Job summary

TikTok USDS Joint Venture LLC is seeking a Data Science Manager to lead a team delivering high-quality analytics for the main TikTok app. You will guide product analytics to grow users and strengthen the US ecosystem, identify metric drivers, and build advanced models to drive business outcomes.

Missional focus includes partnering with international stakeholders, leveraging ML concepts, and ensuring timely data-driven decisions in a fast-paced environment.

Qualifications

• 5+ years of full time experience in an analytical role in a top tier social media or entertainment company, including 2+ years as a people manager
• 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 audience
• Knowledge of technical concepts such as Machine Learning, Causal Inference, and AI

Responsibilities

• Lead a team of Data Scientists or Data Analysts to execute company level objectives
• Conduct product analytics to provide recommendations that drive product growth and nurture a healthy ecosystem
• Understand root causes of metric movements
• Design and build advanced analytical solutions and models to deliver business outcomes

Skills

People management

Analytical thinking

Communication skills

Detail oriented

Self-motivated

Education

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

Tools

SQL

Python

R

Job description

TikTok USDS Joint Venture LLC is seeking a Data Science Manager to lead a team delivering high-quality analytics for the main TikTok app. You will guide product analytics to grow users and strengthen the US ecosystem, identify metric drivers, and build advanced models to drive business outcomes.

Missional focus includes partnering with international stakeholders, leveraging ML concepts, and ensuring timely data-driven decisions in a fast-paced environment.