Data Scientist - 0→1 Growth & Insights

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

The Data Scientist will join TikTok USDS Joint Venture LLC's Emerging Product Engineering Team to build data-driven foundations for new ventures in the U.S. market. You will define measurement frameworks, unlock user insights, and partner with product, eng, and growth to drive early-stage product success.

You will design scalable data pipelines, implement tracking, and analyze experiments to support localization and rapid iteration in a fast-paced startup-like environment.

Qualifications

• 3+ years data science or product analytics experience delivering hands-on insights for consumer-facing production applications.
• Proficiency in SQL and at least one programming language used for data analysis (Python or R).
• Solid understanding of statistical concepts, experimental design (A/B testing), and core product metrics (retention, conversion, engagement).

Responsibilities

• Define 0→1 metrics with product, eng, and growth teams for early-stage products.
• Unlock user insights from early behavior, funnels, and retention to influence roadmaps.
• Design, run, and analyze A/B or quasi-experiments for features, localization, and growth.
• Collaborate with data engineering to design scalable data pipelines and dashboards.
• Communicate findings clearly to engineering and cross-functional stakeholders.

Skills

3+ years data science experience

Strong problem solving

Ability to work in incubator env.

Education

BS/MS in a quantitative field

Tools

SQL

Python

R

Tableau

Looker

Hive

Spark

Job description

The Data Scientist will join TikTok USDS Joint Venture LLC's Emerging Product Engineering Team to build data-driven foundations for new ventures in the U.S. market. You will define measurement frameworks, unlock user insights, and partner with product, eng, and growth to drive early-stage product success.

You will design scalable data pipelines, implement tracking, and analyze experiments to support localization and rapid iteration in a fast-paced startup-like environment.