Senior Data Scientist, Payments Risk & Growth

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 176,000 - 329,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Paid holidays

Job summary

TikTok USDS Joint Venture LLC is seeking a data scientist to join the Payment team, focused on analytics for payments acquisitions, disbursements, and risk management. You will work with large datasets, build predictive models, and measure KPI impact to drive revenue and user experience.

The role emphasizes collaboration with Product, Strategy, and Operations across an in-person setting; candidates should have 3+ years in data science, Python/SQL, ML, and strong visualization skills.

Qualifications

• 3+ years working in data science, risk, ML, and A/B testing.
• Experience with Python, Hive, SQL and familiarity with ML functions, forecasting models.
• Experience in Tableau or other data visualization tools.

Responsibilities

• Work with large datasets to solve problems using analytical approaches.
• Conduct quantitative analysis using regression, ML, and hypothesis testing; present findings to drive growth and satisfaction.
• Develop KPI monitoring and indexes to measure fluctuations and impact of initiatives.
• Design tests including backtesting to measure credit risk strategy and segment user profiles.
• Create documentation detailing sampling, assumptions, test design, metrics, and conclusions.
• Partner with cross-functional teams to inform and execute strategy and decisions.
• Demonstrate understanding of TikTok business challenges and competitive marketplace.

Skills

Python

Hive

SQL

Machine learning

A/B testing

Tools

Tableau

Job description

TikTok USDS Joint Venture LLC is seeking a data scientist to join the Payment team, focused on analytics for payments acquisitions, disbursements, and risk management. You will work with large datasets, build predictive models, and measure KPI impact to drive revenue and user experience.

The role emphasizes collaboration with Product, Strategy, and Operations across an in-person setting; candidates should have 3+ years in data science, Python/SQL, ML, and strong visualization skills.