Назад
Company hidden
1 день назад

Staff Data Scientist (Forecasting)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

Staff Data Scientist (Forecasting): Own network capacity planning for hirify.global QuickBooks products using data science and AI-driven insights with an accent on predictive modeling, experimentation, and KPI frameworks. Focus on designing forecasting models, causal inference methods, and influencing product and technology decisions at scale.

Location: San Diego, California

Company

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp for 100 million customers worldwide.

What you will do

  • Own and evolve network capacity planning strategy for large-scale systems in QuickBooks family.
  • Translate business strategy into hypotheses, models, and actionable insights for leadership.
  • Design and analyze experiments including A/B/n tests, bandits, and causal methods.
  • Build and maintain forecasting, capacity, and analytics models with stats, ML, and causal inference.
  • Define KPI frameworks and success metrics at Business Unit and hirify.global Group levels.
  • Lead analytics initiatives, influence product/technology direction, and ideate AI solutions.

Requirements

  • 7+ years in network capacity planning, workforce planning, or operational forecasting
  • Deep expertise in data science, analytics, or applied statistics
  • Advanced proficiency in SQL, Python, R, and Generative AI tools
  • Strong experience with experimentation, causal inference, and KPI development
  • Demonstrated ability to influence strategy beyond immediate team
  • Excellent data storytelling, communication, systems thinking, and business acumen

Culture & Benefits

  • Competitive compensation with pay-for-performance rewards, cash bonus, equity, and benefits.
  • Regular pay equity comparisons across ethnicity and gender categories.
  • Strong focus on innovation, scaling platforms, and AI-native experiences.

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 →