Senior Data Scientist, Payment Analytics

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.

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.

Minimum Qualifications

• 3+ years working in data science, risk, machine learning, and A/B testing.
• Coding experience in Python, Hive, SQL and familiarity with machine learning functions, options, forecasting models.
• Experience in Tableau or other data visualization tools (e.g. Tableau).

Preferred Qualifications

• 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.