Data Scientist, Analytics - USDS

Responsibilities

Team Intro:
The Payment team of 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. You will contribute to the development of industry‑leading capabilities to protect Tik Tok 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 ambiguous and nuanced problems using a variety of analytical and statistical approaches.
• Conduct quantitative analysis using statistical regression, machine learning, 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, to measure the effectiveness of credit risk strategy and segment user profiles.
• Create documentation that articulates the sampling process, underlying assumptions, test design, success metrics, and conclusions.
• Apply best practices and pragmatic approaches for addressing common issues such as data quality, seasonality, and insufficient training data.
• 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, and 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 Tik Tok’s 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, machine learning, and A/B testing.
• 3+ years of coding experience in Python, Hive, SQL, and familiarity with machine learning functions, optimization, and forecasting models.
• 3+ 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 is highly desirable.
• Strong skill in manipulating and integrating data from a variety of sources.
• Proficiency with test design, feature creation, model development, and documentation.

Base salary range for this position in the selected city is $136,800 – $312,867 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience as well as location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units.

Employees receive day‑one access to medical, dental, and vision insurance; a 401(k) savings plan with company match; paid parental leave; short‑term and long‑term disability coverage; life insurance; well‑being benefits, among…