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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-позиция с работой над важной платформой экспериментов, актуальными задачами на Python и хорошими льготами; без зарплаты сложнее оценить предложение целиком.
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Текст:
Hirify AI/Оригинал
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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