Data Science Manager: Risk & Security for E‑commerce

TikTok Inc.; Seattle (WA); In loco; USD 191.000 - 376.000; Tempo pieno

Descrizione del lavoro

TikTok Inc. seeks a Data Science Manager for Risk Control and Security within the USDS division in Seattle.

You will lead a data science team to build risk detection models, track security metrics, and drive data-driven decisions that protect millions of US users and the platform from evolving threats. You will partner with global stakeholders, shape risk controls, and advance AI-augmented detection capabilities while guiding strategy and talent development within a fast-growing e-commerce

Competenze

• 5+ years of experience in Data Science, Risk Analytics, Cybersecurity, or related field with 3+ years in a people management capacity.
• Mastery of SQL and Python/R. Experience with big data environments and automated workflow tools.
• Proven experience developing automated rules or strategies for fraud detection, trust & safety, or platform security.
• Ability to manage complex stakeholder relationships across time zones and cultures.

Mansioni

• Directly manage a high-performing team of data scientists and oversee core analytical outputs.
• Define and track key risk and security metrics; build scalable data pipelines and reporting.
• Lead analyses to uncover fraud patterns, explain trends, and support strategic decisions.
• Develop automation rules, models, and risk strategies; integrate AI tools to boost team efficiency.

Conoscenze

SQL

Python/R

Big data

Automation workflows

Fraud detection

Stakeholder alignment

Formazione

Bachelor’s or Master’s in quantitative field

Strumenti

Hive

Hadoop

Spark

Descrizione del lavoro

TikTok Inc. seeks a Data Science Manager for Risk Control and Security within the USDS division in Seattle.

You will lead a data science team to build risk detection models, track security metrics, and drive data-driven decisions that protect millions of US users and the platform from evolving threats. You will partner with global stakeholders, shape risk controls, and advance AI-augmented detection capabilities while guiding strategy and talent development within a fast-growing e-commerce