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13 дней назад

Data Scientist (Experimentation Platform)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
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 (Experimentation Platform) (Python/Statistics): Evolving a Python-based Statistical Engine and experimentation platform that powers A/B testing, experiment analysis, and data-driven product decisions with an accent on statistical accuracy, reliability, scalability, and advanced experimentation methods. Focus on modernising statistical capabilities, integrating data with Data Engineering, and exploring AI-assisted platform development.

Location: Hybrid role based in Porto, Portugal

Company

hirify.global operates a global luxury fashion marketplace connecting customers with brands and boutiques worldwide.

What you will do

  • Take technical ownership of the Python-based Statistical Engine within the Experimentation Platform.
  • Ensure accurate, reliable, and timely results for A/B tests and experiment analysis.
  • Extend the platform with new statistical methods, experiment designs, and analytical capabilities.
  • Improve the maintainability, scalability, reliability, and data integration of the platform.
  • Work with Data Engineering to improve data availability and integration with the Data Platform.
  • Partner with Data Analysts, Engineers, and Product Managers to solve experimentation challenges and explore AI-assisted development.

Requirements

  • Strong Python skills and experience developing or maintaining applications.
  • Understanding of statistics, hypothesis testing, and A/B testing.
  • Experience working with SQL and analysing datasets.
  • Familiarity with version control, software testing, and software development practices.
  • Ability to investigate problems, improve existing solutions, and communicate effectively across teams.

Nice to have

  • Experience with A/B testing or experimentation platforms.
  • Knowledge of causal inference or variance reduction.
  • Experience with Google Cloud or BigQuery.
  • Knowledge of machine learning or AI-assisted development tools.

Culture & Benefits

  • Health insurance covering the whole family and additional well-being resources.
  • 25 days of annual leave, additional Caring Days, and access to a sabbatical program after five years of service.
  • Training opportunities and free access to LinkedIn Learning.
  • Flexible benefits and a flexible working environment.

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