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13 часов назад

Senior Data Scientist (Python)

220 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/UK/US +21 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (Python): Building and deploying production-grade predictive and descriptive models for a mobile monetization platform with an accent on LTV prediction, experimentation, and statistical significance. Focus on identifying customer pain points, influencing product roadmaps through data-backed hypotheses, and shipping data-driven features that impact thousands of developers.

Location: Remote (Americas and EMEA regions)

Salary: $220,000

Company

hirify.global is a remote-first monetization platform for mobile apps, processing over $12B in annual purchase volume and supporting developers ranging from solo creators to large-scale teams.

What you will do

  • Proactively explore data to identify customer problems, opportunities, and product bets.
  • Translate ambiguous business questions into clear analyses, models, and actionable recommendations.
  • Design, build, and ship production-grade predictive and descriptive models for customer-facing features.
  • Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
  • Partner with Product Managers to shape roadmaps and influence product direction.
  • Communicate complex insights clearly to both technical and non-technical stakeholders.

Requirements

  • 5+ years of experience working as a Data Scientist.
  • Strong SQL skills and comfort with data modeling.
  • Experience building and deploying predictive and descriptive models in production.
  • Experience writing or collaborating on production-ready Python code.
  • Solid understanding of statistics and experimentation, ideally including Bayesian approaches.
  • Ability to clearly explain complex ideas and results to broad audiences.

Culture & Benefits

  • Fully remote and flexible work environment.
  • Competitive equity in a fast-growing, Series C startup.
  • 4-5 weeks of suggested time off annually for recharge.
  • $2,000 USD workspace setup stipend and $1,000 USD annual learning budget.
  • 10-year window to exercise vested equity options.

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