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7 дней назад

Forecasting Data Scientist

137 400 - 212 500$
Формат работы
hybrid
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
Forecasting Data Scientist (AI/ML and Time Series Forecasting): Developing large-scale data science systems and forecasting models for payment technology with an accent on advanced time series methods, generative forecasting, and scalable machine learning. Focus on designing forecasting solutions, incorporating AI automation into data science workflows, and communicating actionable insights to cross-functional stakeholders.

Location: Foster City, California, United States; at least 3 days per week in the office

Salary: $137,400–$212,500 per year, plus potential bonus and equity

Company

hirify.global is a global payments technology company facilitating transactions among consumers, merchants, financial institutions, and government entities.

What you will do

  • Solve complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks.
  • Develop a vision for data science capabilities aligned with business goals.
  • Lead the design and development of large-scale data science systems and scalable forecasting models.
  • Apply advanced forecasting and machine learning methods to drive business impact.
  • Collaborate with product, engineering, marketing, and other cross-functional stakeholders.
  • Present actionable results to senior leadership and business partners.

Requirements

  • At least 2 years of work experience with a bachelor's degree, or an advanced degree.
  • Experience with time series forecasting, including SARIMA/SARIMAX, VAR/VEC, N-HiTS, TFT, DeepAR, NeuralProphet, or similar methods.
  • Experience with AI-driven forecasting, time series foundation models, and generative forecasting approaches such as TimesFM or TimeGPT.
  • Programming experience in Python, R, Spark, or multiple other languages, plus data science tools such as TensorFlow, PyTorch, or scikit-learn.
  • Experience building scalable models from large-scale real-world datasets and applying deep learning, machine learning, recommendation systems, generative models, and statistical analysis.
  • Ability to work from the Foster City office at least 3 days per week.

Nice to have

  • Experience in financial services or the payments industry.
  • Experience working in global organizations with stakeholders across regions.
  • Experience in project management and working in a fast-moving environment.

Culture & Benefits

  • Opportunity to work on payment technology used across more than 200 countries and territories.
  • Medical, dental, and vision coverage.
  • 401(k), FSA/HSA, life insurance, paid time off, and wellness programs.
  • Travel required 5–10% of the time.
  • Work hours vary according to department needs.

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