pythonsqlfraud detectiona b testingbusiness intelligencedata analyticsregression analysistrust and safetydecision science
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
€74к-100к/год
€65к€81кмедиана€110к
По похожим ролям (47) ~ €81к/год
На СНГ рынке: $3.8к/мес ($3.6к - $4.2к)
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Чёткая роль в продуктовой команде, сильный пакет льгот и зарплата на уровне рынка делают вакансию привлекательной; работа также даёт понятную специализацию в аналитике Trust & Safety.
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Зарплата по рынкуСовременный стекПонятные задачиСильные льготыЗащита пользователей
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Decision Scientist, Trust & Safety (Data Science/Analytics): Detecting fraud and harmful activity in a second-hand marketplace with an accent on hypothesis-driven experimentation, statistical analysis, and actionable product insights. Focus on designing experiments, identifying root causes, monitoring KPIs, and building self-service dashboards for cross-functional product teams.
Location: Berlin, Germany. Hybrid work with two recommended office days per week; remote workations are permitted for limited periods in the EU and globally.
Annual gross salary: €74,000–€100,100.
Company
hirify.global operates a second-hand marketplace connecting millions of members across more than 20 markets, alongside shipping and payment businesses.
What you will do
Partner with product teams and stakeholders to identify strategic opportunities and provide data-driven recommendations.
Detect and investigate fraud patterns and harmful or inappropriate activity within the marketplace.
Design, run, and analyse experiments using statistical methods and visualisation tools.
Define and monitor key performance indicators, investigate issues, and identify root causes.
Build self-service dashboards that help teams independently use data for business insights.
Promote best practices in analytics and data-driven decision-making.
Requirements
3+ years of experience in Decision Science or Data Analytics.
Strong analytical thinking, problem-solving, communication, and stakeholder presentation skills.
Practical experience with SQL and Python for data analytics.
Experience with BI tools such as Looker, Tableau, or Power BI.
Knowledge of A/B testing, regression analysis, and other inferential statistical methods.
Fluent English, written and spoken, is required.
Nice to have
Experience in Trust & Safety or fraud-related work.
Previous experience working in product teams.
Culture & Benefits
Hybrid work model with two recommended office days per week.
30 days of paid annual leave and supplemental private health insurance.
Share options, pension matching, life and disability insurance, and an employee assistance program.
Home-office equipment and a furniture budget of up to €540.
Annual learning budget starting at €3,000, plus up to 10 development days over two years.
Workation policy allowing limited remote work in the EU and globally.
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