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# Data Scientist, Emerging Product-USDS

- **Company:** Tiktok Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Salary:** $144,000.0 - $329,334.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Information Engineering, Data Infrastructure, Data Visualization, Distributed Computing Environment, Apache Hive, Python (Programming Language), SQL Databases, Tableau (Software), Apache Spark, Information Technology, Looker Analytics, Data Pipelines, Programming Languages
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ff50791f5b831adf

## About the Role

Do you have experience in Research design?, Do you have a Bachelor's degree?, Minimum Qualifications: - BS / MS in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics, or related field). - 3+ years of 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 (e.g., Python or R). - Solid understanding of statistical concepts, experimental design (A/B testing), and core product metrics (retention, conversion, engagement). Preferred Qualifications: - Experience working in an incubator, startup, or "0 to 1" product environment. - Strong business acumen with a proven track record of turning ambiguous, messy data into structured, actionable product recommendations. - Familiarity with data visualization tools (e.g., Tableau, Looker) and distributed data processing frameworks (e.g., Hive, Spark).

## Description

About the Team: The Emerging Product Engineering Team is the incubator for TikTok USDS JV's newest ventures in the US market. We are responsible for the end-to-end success of a diverse portfolio of non-TikTok applications, including Trae, Gauth, and MyTopia, as well as a growing pipeline of new products. We operate with a strong "0 1" mindset, prioritizing agility, rapid iteration, and creative problem-solving to build and scale products. We are now looking for a Data Scientist who thrives in fast-paced, ambiguous environments and is passionate about building new businesses from the ground up. In this role, you will define measurement frameworks, unlock user insights, and build data-driven foundations that enable our emerging products to launch, localize, and scale successfully in the U.S. Market. Responsibilities: - Define 0 1 Metrics: Partner closely with Product Managers, Engineers, and growth teams to establish core KPIs, product health metrics, and foundational tracking for
early-stage products. - Unlock User Insights: Analyze early user behavior, engagement funnels, and retention patterns to deliver actionable insights that directly influence product roadmaps and successful U.S. market entry. - Experimentation & Iteration: Design, execute, and analyze A/B tests or quasi-experiments to validate new features, localization efforts, and growth strategies under rapid iteration cycles. - Data Infrastructure Collaboration: Work with data engineering teams to design scalable data pipelines, telemetry requirements, and robust dashboards that ensure high data quality and observability. - Cross-Functional Partnership: Communicate complex data findings clearly to global engineering teams and cross-functional stakeholders (e.g., operations, marketing, and compliance) to align strategic goals.


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