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5 дней назад

Data Scientist (US)

125 000 - 135 000$
Формат работы
remote (только USA)
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
Data Scientist (US) (Python/R, SQL, Databricks): Building predictive models, experiments, analytical pipelines, and production-ready data products that improve churn, usage, and revenue with an accent on statistical rigor, experimentation, and business impact. Focus on owning ambiguous projects end to end, designing reliable analytical workflows, and translating data science results into decisions and adopted products.

Location: Remote within the United States; hiring is available in every U.S. state except the District of Columbia

Salary: $125,000–$135,000 annual base salary

Company

hirify.global develops technology, software tools, community collaboration, and digital content to improve biblical literacy and accessibility.

What you will do

  • Own data science projects from problem framing and method selection through modeling, validation, and presenting results.
  • Build and maintain predictive models, analytical pipelines, certified data products, scores, and features using Python or R, SQL, dbt, and Databricks.
  • Design, run, and interpret experiments, including hypothesis formulation, sizing, and evaluation of inconclusive results.
  • Help define the data science roadmap and prioritize work based on measurable effects on churn, usage, and revenue.
  • Partner with embedded analysts and the Data Platform team to drive adoption, validate data quality, and improve upstream data reliability.
  • Mentor analysts, contribute to code reviews and standards, and maintain reproducible documentation.

Requirements

  • 4–7 years of professional experience in data science, applied statistics, or a related quantitative field.
  • Independent ownership of projects from ambiguous requests through delivered results.
  • Strong SQL and fluency in Python or R.
  • Solid knowledge of statistics and experimental design, including test limitations.
  • Ability to prioritize work according to measurable business impact and communicate technical results to non-technical audiences.
  • Must be based in the United States; the District of Columbia is excluded.

Nice to have

  • Experience working as the only or one of very few data scientists on a team.
  • Hands-on experience with Databricks and dbt.
  • Exposure to production ML systems, recommendation engines, or MLOps.
  • Experience in subscription or SaaS businesses, especially churn, retention, and usage analytics.
  • Familiarity with data mesh or distributed analytics models.

Culture & Benefits

  • Lean data science team with broad ownership and latitude to shape the function.
  • Medical, dental, and vision insurance.
  • Company-paid life and disability insurance.
  • Flexible paid time off, 10 paid holidays, and paid parental leave.
  • Health Savings Account, Flexible Spending Account, and 401(k) with an employer match of up to 4%.
  • Paid four-week sabbatical after 10 years with an additional stipend, plus an awards and recognition program.

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