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Data Scientist, Payment Analytics - USDS

TikTok

Office

San Jose, California, United States

Full Time

Team Intro:
The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities:
This role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Specific responsibilities include:

- Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches.
- Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction.
- Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring.
- Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile.
- Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion.
- Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc.
- Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges.
- Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance.
- Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions.
- Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.

Data Scientist, Payment Analytics - USDS

Office

San Jose, California, United States

Full Time

August 5, 2025

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TikTok