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15 часов назад

Senior Data Scientist (AI)

166 000 - 200 000$
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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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (AI): Building forecasting, product analytics, operational prediction, and capacity-planning models for AI cloud infrastructure with an accent on financial forecasting, root cause analysis, and time series modeling. Focus on predicting infrastructure failures, analyzing cloud product performance, and building scalable data quality and infrastructure practices.

Location: Sunnyvale, California, United States; on-site

Salary: $166,000–$200,000 per year plus bonus; restricted stock units included

Company

hirify.global is a vertically integrated AI infrastructure company operating across energy, manufacturing, data center construction, and cloud services.

What you will do

  • Build and deploy financial forecasting and product analysis models.
  • Investigate operational incidents, perform root cause analysis, and predict system failures.
  • Analyze cloud infrastructure product usage and performance to guide improvements and feature development.
  • Collaborate on data quality initiatives and the scalable evolution of data infrastructure.
  • Drive analytics projects autonomously as an early member of the central Data Science and Engineering team.

Requirements

  • Strong experience with Monte Carlo simulation, predictive analytics, and time series modeling.
  • Proficiency in SQL and Python for data analysis.
  • Strong understanding of modern data infrastructure architectures.
  • Familiarity with Tableau, Power BI, Looker, or similar data visualization tools.
  • Demonstrated commitment to data quality and ability to work autonomously.

Nice to have

  • Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, or another quantitative field, or equivalent experience.
  • Experience building cloud infrastructure with AWS, GCP, or Azure.
  • Experience on a growing or early-stage data team.

Culture & Benefits

  • Paid time off, paid holidays, and paid parental leave.
  • Health, dental, and vision insurance with employer HSA contributions.
  • Paid life insurance, short- and long-term disability coverage, and mental health support.
  • Professional development and tuition reimbursement.
  • 401(k) retirement plan with company matching up to 4% of salary.
  • Commuter benefits, cell phone stipend, and volunteer time off.

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