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23 часа назад

Senior Data Scientist, Trust & Safety - USDS (AI)

176 356 - 329 334$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Scientist, Trust & Safety - USDS (AI): Building data-driven safety products and ML/AI solutions for TikTok's US Data Security Safety team with an accent on product analytics, experimentation, and risk measurement. Focus on analyzing large datasets, designing core metrics, identifying root causes, and influencing safety decisions across product, operations, policy, and engineering.

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

Salary: $176,356–$329,334 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global USDS Joint Venture operates data privacy, cybersecurity, and trust and safety programs that protect U.S. user data, apps, algorithms, and the content ecosystem.

What you will do

  • Partner with product, operations, policy, and engineering teams to design, execute, measure, and improve U.S. safety initiatives.
  • Conduct quantitative analysis of user behavior and the safety ecosystem to influence decision-making.
  • Design, research, develop, and apply ML/AI solutions for prediction, optimization, segmentation, and other business problems.
  • Explore large datasets, improve data structures, and create new datasets where needed.
  • Design and monitor core metrics, perform root-cause analysis, and identify trends and opportunities.
  • Measure risks associated with feature and product launches and answer strategic business questions.

Requirements

  • Degree in Computer Science, Data Science, Mathematics/Statistics, or another STEM field.
  • At least 5 years of industry experience in data science, data analytics, product analytics, quantitative analysis, and machine learning.
  • Experience using SQL and Python to extract, manipulate, and analyze datasets.
  • Experience with statistical analysis and data modeling, including hypothesis testing, experiment design, regression, and classification.
  • Experience experimenting with and testing minimum viable products to assess whether solutions can scale.
  • Ability to work on-site in San Jose and potentially review harmful content, including bullying, hate speech, child abuse, self-harm, and violence.

Nice to have

  • Data science, data analytics, or product analytics experience at a consumer technology company.
  • Ability to work effectively in a high-tempo environment and manage the emotional demands of trust and safety work.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match, life insurance, and short- and long-term disability coverage.
  • Paid parental leave, 10 paid holidays, 10 paid sick days, and paid personal time.
  • Wellbeing programs and evidence-based physical and mental health support.
  • Inclusive workplace with reasonable accommodations available during recruitment.

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