1 день назад
Data Scientist, Payment Analytics (Payments)
144 000 - 329 334$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist, Payment Analytics (Payments): Developing analytics, reporting, and predictive models for TikTok's payment security and growth with an accent on statistical analysis, machine learning, risk measurement, and payment performance. Focus on designing backtests and experiments, forecasting revenue and losses, diagnosing payment issues, and translating complex data into decisions for product, strategy, operations, engineering, and R&D teams.
Location: San Jose, United States; fully in-person schedule up to 5 days a week
Salary: $144,000–$329,334 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
operates TikTok’s U.S. Data Security program, protecting U.S. user data, applications, algorithms, and the content ecosystem.
What you will do
- Develop analytics and reporting initiatives for strategy, operations, business, engineering, and R&D stakeholders.
- Analyze large and complex datasets using regression, machine learning, hypothesis testing, and other statistical approaches.
- Measure KPI changes, business initiative impact, customer experience, and payment performance through indexes and monitoring frameworks.
- Design foundational tests and backtesting approaches to evaluate credit risk strategies and segment user profiles.
- Build predictive analyses and support revenue and loss forecasts, budgeting, risk management, and incident management.
- Conduct deep-dive analyses to identify patterns, correlations, concentrations, root causes, and opportunities for secure payment growth.
Requirements
- 3+ years of experience in data science, risk, machine learning, and A/B testing.
- 3+ years of coding experience with Python, Hive, and SQL, including machine learning functions and forecasting models.
- 5+ years of experience with Tableau or other data visualization tools.
- Experience manipulating and integrating data from multiple sources, with knowledge of data quality, seasonality, and training-data limitations.
- Experience with test design, feature creation, model development, documentation, and communicating recommendations clearly.
- Ability to work on-site in San Jose, with in-person attendance up to five days per week.
Nice to have
- Knowledge of the payments industry.
- Risk analytics or operations experience in financial services, e-commerce, or operational performance.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, life insurance, and short- and long-term disability coverage.
- Paid parental leave, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Additional wellbeing benefits and potential bonuses, incentives, and restricted stock units.
- Inclusive workplace focused on curiosity, collaboration, resilience, continuous learning, and meaningful impact.
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