Data Science Manager: Growth & Product Analytics Lead

TikTok USDS Joint Venture

Los Angeles (CA)

On-site

USD 191,000 - 376,000

Full time

13 days ago

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Benefits offered by this job

Health insurance
401(k) match
Paid time off

Job summary

TikTok USDS Joint Venture LLC in Los Angeles seeks a Data Science Manager to lead a team of data professionals and deliver analytics at scale. You will guide product analytics to influence growth, understand metric drivers, and design advanced models that translate insights into measurable business outcomes.

The role requires leadership, deep analytical skills, and the ability to communicate findings to both technical and non-technical audiences. On-site work is required.

Qualifications

  • 5+ years in an analytical role at a top-tier social media or entertainment company, including 2+ years as a people manager.
  • 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, autonomous learner, and highly organized.
  • Ability to conduct rigorous analysis and communicate conclusions to technical and non-technical audiences.

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
SQL
Python or R
Data analysis
Communication

Education

BS/MS in CS/Math/Stats

Job description

TikTok USDS Joint Venture LLC in Los Angeles seeks a Data Science Manager to lead a team of data professionals and deliver analytics at scale. You will guide product analytics to influence growth, understand metric drivers, and design advanced models that translate insights into measurable business outcomes.

The role requires leadership, deep analytical skills, and the ability to communicate findings to both technical and non-technical audiences. On-site work is required.

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