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2 дня назад

Data Scientist (AI)

160 000 - 245 000$
Формат работы
hybrid
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
Data Scientist (AI) (Product Analytics): Driving data-informed decisions across an integrated AI neocloud by analyzing product usage, business performance, and customer behavior with an accent on SQL, Python, data pipelines, and BI dashboards. Focus on building foundational data models, quantifying data center business health, and surfacing trends and opportunities before they appear in routine reporting.

Location: Hybrid in New York City, NY, with in-office attendance required 2 days per week

Annual base salary: $160,000–$245,000 USD, plus discretionary bonus, equity, and benefits for eligible roles.

Company

hirify.global builds an end-to-end platform for developing, training, and deploying AI systems, combining developer-first software with large-scale AI compute.

What you will do

  • Partner with Product, Sales, and Engineering to define important business questions and identify product behaviors that drive outcomes.
  • Analyze small-business and enterprise usage patterns to refine Ideal Customer Profiles and guide sales prospecting.
  • Measure the health of the data center business and evaluate sales, service, and operations improvements.
  • Design, build, and maintain data pipelines with Engineering to support timely and accurate analysis.
  • Use SQL and Python scripts to explore data, automate recurring workflows, and answer ad hoc questions.
  • Build Looker and Data Studio dashboards and reports, monitor trends, and enable teams to use analytics tools independently.

Requirements

  • 5+ years of experience in Data Science or Product Analytics.
  • Proficiency with SQL for querying large databases.
  • Strong Python skills for scripting and statistical analysis.
  • Hands-on experience with BI tools such as Looker and cloud data infrastructure, including AWS and/or GCP.
  • Ability to make clear decisions and recommendations under uncertainty.
  • Ability to work from the New York City office 2 days per week in a hybrid arrangement.

Nice to have

  • Experience on a growing data team at a startup.
  • Experience designing and building foundational data models from scratch.

Culture & Benefits

  • Health, dental, and vision coverage for employees and eligible dependents.
  • RSUs, 401(k) matching in the U.S., and pension contributions in the U.K.
  • Unlimited PTO, company holidays, floating holidays, and a two-week winter company closure.
  • Paid parental and family leave, wellness and work-from-home stipends, and complimentary office meals.
  • Annual learning and development allowance plus a four-week paid sabbatical after four years.
  • Flexible schedules and a hybrid work model for office-based teams.

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