Tiktok - Seattle, WA

posted about 2 months ago

Full-time - Entry Level
Hybrid - Seattle, WA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., created to enhance focus and governance on data protection policies and content assurance protocols to ensure the safety of U.S. users. The USDS team is dedicated to providing oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to engage with TikTok for learning, creativity, and entertainment. The teams within USDS span across various functions including Trust & Safety, Security & Privacy, Engineering, User & Product Operations, and Corporate Functions. The USDS-Platform and Community Integrity (PaCI) team is tasked with protecting U.S. TikTok users, including content consumers, creators, and advertisers, while securing platform health and community experience authenticity. This team is responsible for building infrastructures and technologies, collaborating with cross-functional teams to minimize the impact of inauthentic behaviors on TikTok platforms. The work involves addressing multiple risk areas such as account integrity, engagement authenticity, anti-spam measures, API abuse, growth fraud, live streaming security, and financial safety. As a member of this team, you will have the opportunity to engage with the company's strategic security initiatives, focusing on developing scalable, robust, and privacy-safe systems and solutions. The challenges faced are not typical technical puzzles; instead, you will be part of a team innovating solutions to unprecedented challenges in a rapidly evolving product ecosystem. To foster collaboration and cross-functional partnerships, our organization follows a hybrid work schedule, requiring employees to work in the office three days a week, or as directed by their manager. This model is regularly reviewed, and specific requirements may change at any time.

Responsibilities

  • Build rules, algorithms, and machine learning models to respond to and mitigate business risks in TikTok products/platforms.
  • Analyze business and security data to uncover evolving attack motions, identify weaknesses, and explore new opportunities in risk defense solutions.
  • Define risk control measurements and quantify, generalize, and monitor risk-related business and operational metrics.
  • Align risk teams and their stakeholders on risk control numeric goals, promoting impact-oriented, data-driven data science practices for risks.

Requirements

  • Bachelor's degree or higher in computer science, statistics, math, internet security, or other relevant STEM majors.
  • Solid data science skills with proficiency in statistical analytical tools such as SQL, R, and Python.
  • Familiarity with machine learning or social/content online platform analytics; proficiency in modern machine learning applications is a bonus.
  • Ability to think critically, objectively, and rationally, with strong communication skills in a result-oriented, data-driven manner.

Nice-to-haves

  • Experience in financial fraud roles or similar fields.
  • Knowledge of risk management frameworks and methodologies.
  • Familiarity with data privacy regulations and compliance standards.

Benefits

  • 100% premium coverage for employee medical insurance and approximately 75% for dependents.
  • Health Savings Account (HSA) with company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
  • Flexible Spending Account (FSA) options for healthcare and dependent care.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
  • 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
  • Mental and emotional health benefits through EAP and Lyra.
  • 401K company match, gym, and cellphone service reimbursements.
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