Senior Data Scientist - Payments Risk & Analytics

TikTok USDS Joint Venture; San Jose (CA); Sur place; USD 176 000 - 329 000; Plein temps

Résumé du poste

TikTok USDS Joint Venture LLC is seeking a data science professional to lead analytics initiatives within the USDS Payment Team. You will analyze large datasets, build predictive models, monitor KPI trends, and deliver actionable insights to product, strategy, and operations across the US and globally.

You will design experiments, backtests for credit risk, collaborate with cross-functional teams, and communicate findings clearly to stakeholders while ensuring data quality and scalable solutions

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).

Responsabilités

• Develop analytics and reporting initiatives delivering data-driven insights to internal and external stakeholders.
• Work with large datasets to solve problems using analytical and statistical approaches.
• Conduct quantitative analysis using statistical regression, machine learning, and hypothesis testing; present recommendations.
• Design KPI measurement and indexes for monitoring of impact and customer experience.
• Create documentation of sampling processes, assumptions, test designs, success metrics, and conclusions.
• Address data quality, seasonality, and training data issues.
• Perform predictive analysis to support revenue and risk management.
• Collaborate with Product, Strategy, Operations and cross-functional teams to inform strategy.

Connaissances

Data science

Risk analytics

Machine learning

A/B testing

Python

SQL

Hive

Outils

Tableau

Description du poste

TikTok USDS Joint Venture LLC is seeking a data science professional to lead analytics initiatives within the USDS Payment Team. You will analyze large datasets, build predictive models, monitor KPI trends, and deliver actionable insights to product, strategy, and operations across the US and globally.

You will design experiments, backtests for credit risk, collaborate with cross-functional teams, and communicate findings clearly to stakeholders while ensuring data quality and scalable solutions