12 часов назад
Data Scientist, E-commerce - USDS (E-commerce Security)
144 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist, E-commerce - USDS (E-commerce Security): Building data-driven security solutions for TikTok Shop by analyzing transaction logs, user behavior, abnormal orders, and fraud records with an accent on risk detection, root cause analysis, and scalable production implementation. Focus on identifying fraud, information leakage, malicious crawling, and other e-commerce threats while collaborating with product, security, engineering, and business teams.
Location: San Jose, United States; fully in-person schedule up to 5 days a week
Salary: $144,000–$240,000 annually, with potential bonuses, incentives, and restricted stock units.
Company
operates data privacy, cybersecurity, trust and safety, and user-data protection programs for TikTok’s U.S. apps and content ecosystem.
What you will do
- Lead end-to-end data analysis projects focused on TikTok Shop security, including collecting, cleaning, and transforming transaction, behavior, order, and fraud data.
- Detect security risks and anomalies related to information leakage, malicious crawling, fraudulent activity, and user abuse.
- Apply statistical methods and data mining to diagnose root causes and develop implementable security solutions.
- Support production implementation and execution of data-driven e-commerce security solutions.
- Design scalable analysis solutions in collaboration with e-commerce, product, security, and engineering teams.
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, Information Security, Business Analytics, or a related discipline.
- 3+ years of experience in data analytics.
- Proficiency in SQL, Python, and relevant analytical tools or languages.
- Ability to detect cyber threats and risks through data-driven analysis.
- Strong investigation, analytical, independent-working, business judgment, and cross-team communication skills.
Nice to have
- Experience with data science and e-commerce security risk mitigation, including data security, traffic security, or anti-bot solutions.
- Experience in e-commerce or retail and familiarity with related security risks and analysis scenarios.
- Ability to bridge business and technical teams and drive projects from risk detection through solution implementation.
Culture & Benefits
- Fully in-person work supports rapid decision-making, team development, alignment, and integrated execution.
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, life insurance, and wellbeing benefits.
- 10 paid holidays, 10 paid sick days, and 17 days of paid personal time, with increasing accruals by tenure.
- Inclusive workplace with reasonable accommodations available during recruitment.
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