Data Engineer, Emerging Product-USDS
Listed on 2026-08-03
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IT/Tech
Data Analyst, Data Science Manager, Data Scientist
Responsibilities
About the Team:
The Emerging Product Engineering Team is the incubator for Tik Tok USDS JV's newest ventures in the US market. We are responsible for the end-to-end success of a diverse portfolio of non-Tik Tok 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.
- 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.
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).
Tik Tok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm.
We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility - especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
Why Join UsInspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to…
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