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1 день назад

Data Scientist, E-commerce - USDS (E-commerce Security)

136 800 - 228 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist, E-commerce - USDS (E-commerce Security): Analyzing transaction logs, user behavior, abnormal orders, and fraud records to detect risks and deliver data-driven security solutions with an accent on e-commerce risk control, data mining, and production implementation. Focus on diagnosing hidden security issues, identifying information leakage and malicious crawling, and building scalable analytics solutions with business, product, security, and engineering teams.

Location: Seattle, United States; fully in-person schedule up to 5 days a week

Salary: $136,800–$228,000 annually, plus potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates data privacy, cybersecurity, trust and safety, and U.S. user-data protection programs for TikTok-operated apps.

What you will do

  • Lead end-to-end data analysis projects for e-commerce security, from collecting and transforming transaction, behavior, order, and fraud data to implementing solutions in production.
  • Monitor security data trends, including information leakage and malicious crawling of product and price data.
  • Identify anomalies, security risks, and optimization opportunities affecting users, merchants, and the e-commerce platform.
  • Use statistical methods and data mining to diagnose root causes and develop actionable security solutions.
  • Translate business needs into scalable data analysis solutions in collaboration with product, security, engineering, and e-commerce teams.

Requirements

  • Bachelor’s degree or above in Computer Science, Data Science, Information Security, Business Analytics, or a related field.
  • 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 and investigate issues in business data and security logs.
  • Strong business judgment, independent working ability, cross-team communication, and effectiveness in a fast-paced, ambiguous environment.

Nice to have

  • Experience with data science and e-commerce security risk mitigation, including data security, traffic security, or anti-bot work.
  • Experience in e-commerce or retail and familiarity with related security risks and data analysis scenarios.
  • Ability to bridge business and technical teams and move projects from risk detection through solution implementation.

Culture & Benefits

  • Medical, dental, and vision insurance available 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.
  • Work environment centered on curiosity, humility, resilience, inclusion, and continuous iteration.

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