Senior Data Scientist, Trust & Safety - USDS

Position Overview

TikTok’s US Data Security Safety Product team is seeking a Senior Data Scientist, Trust & Safety – USDS to help ensure that TikTok remains a safe, trustworthy, and risk-free environment for its users. Based in Los Angeles and offered as a full‑time, regular role, you will partner with cross-functional teams to drive safety initiatives, design data-driven solutions, and safeguard user data in a fast-paced, hybrid work environment.

Key Responsibilities

• Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve US Safety efforts.
• Apply the full data science toolkit to break down complex problems and provide actionable insights to stakeholders.
• Continuously explore and analyze large datasets to deliver quantitative insights that drive US Safety decision making.
• Independently design, research, develop, and implement ML/AI solutions including prediction, optimization, and segmentation.
• Develop and monitor core metrics, perform root cause analysis, and identify trends to drive safety initiatives.
• Collect both quantitative and qualitative data to assess risk for new features and products.

Required Qualifications

• Ph.D., M.S., or Bachelor’s degree in Computer Science, Data Science, Mathematics/Statistics, or other STEM fields.
• Over 6 years of industry experience in data science, data analytics, product analytics, quantitative analysis, and machine learning.
• Experience with experimentation and testing of Minimum Viable Products to validate scalable business models.
• Proficiency in SQL and Python for extracting, manipulating, and analyzing large datasets.
• Proven ability to create data visualizations and perform statistical analysis, hypothesis testing, experiment design, and regression or classification algorithms.
• Experience building data infrastructure and implementing robust reporting solutions.

Preferred Qualifications

• 4 or more years of experience as a Product or Applied Data Scientist.
• Ability to thrive in a high tempo environment and adapt to day-to-day challenges.
• Resilience and commitment to self-care in managing the emotional demands of the role.
• Previous experience in data science or product analytics at a consumer technology company.
• A passion for social technology products and a curiosity to grow within a fast-paced organization.
• Experience working with international partners across different time zones.

Benefits & Perks

• Compensation: Base salary range of $167,538 - $312,867 annually, potentially complemented by discretionary bonuses, incentives, and restricted stock units.
• Day one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave, along with short-term and long-term disability coverage and life insurance.
• Wellbeing benefits designed to support physical and mental health.
• Paid time off including 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).