Data Scientist, Analytics - USDS

Data Scientist, Payment Analytics - USDS Responsibilities

Team Introduction:
The Payment team of the U.S. Data Security department of Tik Tok 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 the Tik Tok platform.

This role is responsible for developing and executing analytics and reporting initiatives that deliver data‑driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both the US and globally. You play a key role in empowering the Tik Tok platform to achieve overall payment success by way of payment security, contributing to the development of industry‑leading capabilities to protect Tik Tok.

Set to secure payment growth.

• Work with large datasets to solve problems that could be ambiguous and nuanced using analytical and statistical approaches.
• Conduct quantitative analysis using statistical regression, machine learning,symbols ok; 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 back‑testing to measure the effectiveness of credit risk strategy and segmenting user profiles.
• Create documentation articulating the sampling process, underlying assumptions, test design, success metrics, and conclusions.
• Handle common data issues such as data quality, seasonality, and insufficient training datasets.
• 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, providing 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 Tik Tok business, key products, and the competitiveness of the marketplace.

• 3+ years of progressive success in roles of increasing responsibility.
• 3+ years working in data science, risk,.prom: machine learning, and A/B testing.
• 3+ years of coding experience in Python, Hive, SQL, and familiarity with machine learning functions, options, forecasting models.
• 5+ years of experience with Tableau or other data visualization tools.

• Knowledge of the payments industry is highly desirable.
• Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable.
• Strongly skilled at manipulating and integrating data from a variety of sources.
• Proficiency with test design, feature creation, model development, and documentation permissible. ( )

Tik Tok is the leading destination for short‑form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of Tik Tok in the U.S. This new, security‑first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the Tik Tok platform and U.S. user data, so millions of Americans can continue turning to Tik Tok to learn something new, earn a living, express themselves creatively, or be entertained.

The teams within USDS deliver on this commitment daily across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

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 usług…