Назад
Company hidden
7 дней назад

Data Scientist, Ads - USDS (Ads)

144 000 - 329 334$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Scientist, Ads - USDS (Ads): Building scalable analysis pipelines and developing forecasting and optimization methods for TikTok ads products with an accent on advanced statistical analysis, large complex datasets, and data-driven monetization decisions. Focus on solving non-routine analytical problems, selecting appropriate statistical tools, and presenting business recommendations to cross-functional stakeholders.

Location: San Jose R&D; fully in-person schedule up to 5 days a week

Salary: $144,000–$329,334 annually, plus potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates TikTok's U.S. data privacy, cybersecurity, trust and safety, and content ecosystem programs.

What you will do

  • Analyze large and complex datasets using advanced analytical methods.
  • Manage the full analysis lifecycle, including data gathering, requirements specification, processing, analysis, deliverables, and presentations.
  • Build and iteratively prototype scalable analysis pipelines.
  • Develop expertise in TikTok data structures and metrics and advocate for improvements supporting product development.
  • Partner cross-functionally to provide cost-benefit analyses, forecasts, experiment analyses, and quantitative business recommendations.
  • Research and develop analysis, forecasting, and optimization methods to improve TikTok ads products.

Requirements

  • BA, master's degree, PhD, or equivalent practical experience in a quantitative discipline such as statistics, operations research, economics, computer science, mathematics, or physics.
  • At least 2 years of relevant work experience.
  • Expertise in statistical data analysis, including linear models, multivariate analysis, stochastic models, and sampling methods.
  • Experience with statistical software such as R, Python, or MATLAB.
  • Experience with database languages such as SQL.
  • Demonstrated ability to select appropriate statistical tools and communicate findings effectively.

Nice to have

  • Experience with ads, recommendation, e-commerce, or search products.
  • Leadership, self-direction, and willingness to teach and learn new techniques.

Culture & Benefits

  • Day-one access to medical, dental, and vision insurance.
  • 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.
  • Reasonable accommodations are available during recruitment for eligible candidates.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →