E-commerce Risk & Security Data Scientist

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 144,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) match

Paid parental leave

Job summary

TikTok USDS Joint Venture LLC is seeking a data analytics-focused professional to drive e-commerce security insights. You will collect, clean, and transform security-related data, identify risks, and implement data-driven solutions in production.

You will monitor trends, detect anomalies, and perform root-cause analysis using statistics and data mining. Collaboration with product, security, and engineering teams is essential to deliver scalable analyses that inform decision-making.

Qualifications

• Bachelor’s degree or above in Computer Science, Data Science, Information Security, Business Analytics, or a related discipline.
• 3+ years of experience in data analytics, with proficiency in SQL, Python, and relevant analytical tools/languages.
• Able to detect cyber threats and risks by data-driven approaches.
• Strong cross-team communication in a fast-paced environment.

Responsibilities

• End-to-end data analysis projects in e-commerce security, including collecting, cleaning, transforming data and implementing solutions in production.
• Monitor and analyze e-commerce security data trends, identify anomalies and optimization directions.
• Perform data-based diagnosis of security issues using statistics and data mining to support decision-making.
• Collaborate with business, product, security, and engineering teams to design scalable data analysis solutions.

Skills

SQL

Python

Data analytics

Threat detection

Education

BS in CS/Data Science

Job description

TikTok USDS Joint Venture LLC is seeking a data analytics-focused professional to drive e-commerce security insights. You will collect, clean, and transform security-related data, identify risks, and implement data-driven solutions in production.

You will monitor trends, detect anomalies, and perform root-cause analysis using statistics and data mining. Collaboration with product, security, and engineering teams is essential to deliver scalable analyses that inform decision-making.