pythonsqldata visualizationa b testingbusiness intelligencefraud preventionregression analysistrust and safety
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
€68к-92к/год
€65к€81кмедиана€110к
По похожим ролям (50) ~ €81к/год
На СНГ рынке: $3.8к/мес ($3.6к - $4.2к)
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Роль чётко описана в крупной продуктовой компании, а условия для обучения выглядят сильными. Однако зарплата ниже медианы рынка, что снижает привлекательность предложения.
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Ниже рынкаАктуальные технологииПонятные задачиБюджет на развитиеФинансовые технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Decision Scientist (Fraud Management) (Payments/Fraud Analytics): Protecting Vinted Pay’s financial ecosystem by analyzing large datasets, evaluating fraud signals, and balancing machine-learning predictors, business rules, and third-party fraud networks with an accent on statistical modeling, KPI monitoring, and data-driven product decisions. Focus on validating fraud-prevention opportunities, identifying root causes, building self-service dashboards, and co-creating improved detection processes with Data Scientists.
Location: Amsterdam, Netherlands. Hybrid work with two recommended office days per week; remote work is available under the workation policy for up to 90 days per year in the EU, including up to 21 days globally.
hirify.global operates a second-hand marketplace, logistics services, and secure payment products across Europe.
What you will do
Identify strategic opportunities and provide data-driven recommendations to product, engineering, and business stakeholders.
Test and analyze opportunities using statistical methods and visualization tools to validate value and business impact.
Select, calculate, and monitor key performance indicators, investigate issues, and determine root causes.
Enable stakeholders to use data independently through self-service dashboards.
Promote analytics and decision-making best practices across the organization.
Co-create fraud detection improvements with Data Scientists, including evaluation of external fraud signals and post-pay fraud lifecycles.
Requirements
Experience in Decision Science or Data Analytics.
Experience in fraud prevention, Trust & Safety, or a related area.
Strong analytical thinking, problem-solving, and business-impact assessment skills.
Familiarity with SQL and Python.
Experience with business intelligence tools such as Looker, Tableau, or Power BI.
Knowledge of A/B testing, regression analysis, and other inferential statistical techniques; fluent English required.
Culture & Benefits
Hybrid work model with flexibility to work from home.
25 days of paid annual leave and a work-from-home allowance.
Learning budget starting at €3,000 per year, plus up to 10 learning days over two years.
Share options, pension plan, lunch benefit, flexible benefits budget, and company bike leasing.
Home-office equipment support, including up to €540 for workplace furniture.
Employee assistance program, team-building events, dog-friendly office, and a personal hirify.global shopping budget.
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