Data Scientist, 0→1 Product Insights

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 144,000 - 329,000

Full time

21 hours ago
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Benefits offered by this job

Medical, dental, vision insurance
401(k) with match
Paid parental leave
Hybrid/onsite collaboration

Job summary

TikTok USDS Joint Venture LLC is hiring a data scientist/product analytics professional to partner with product, engineering, and growth teams in defining core KPIs and early-stage metrics. You will analyze user behavior, run experiments, and deliver insights that influence product roadmaps for U.S.

market entry. The role emphasizes building scalable data pipelines and dashboards with a strong analytics foundation, while communicating findings to both global teams and local stakeholders.

Qualifications

  • BS/MS in quantitative field or related area.
  • 3+ years of data science or product analytics experience for consumer apps.
  • Proficiency in SQL and at least one data analysis language (Python or R).
  • Strong understanding of statistics, experimental design, and core metrics.

Responsibilities

  • Define 0→1 metrics with product and growth teams for early-stage products.
  • Analyze early user behavior, funnels, and retention to guide roadmaps.
  • Design and analyze A/B tests to validate features and localization efforts.
  • Collaborate with data engineering to build scalable pipelines and dashboards.
  • Present findings clearly to global engineering and cross-functional stakeholders.

Skills

SQL
Python/R
Statistics
A/B testing

Education

BS/MS in quantitative field

Tools

Tableau
Looker
Hive
Spark

Job description

TikTok USDS Joint Venture LLC is hiring a data scientist/product analytics professional to partner with product, engineering, and growth teams in defining core KPIs and early-stage metrics. You will analyze user behavior, run experiments, and deliver insights that influence product roadmaps for U.S.

market entry. The role emphasizes building scalable data pipelines and dashboards with a strong analytics foundation, while communicating findings to both global teams and local stakeholders.

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