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7 дней назад

Senior Decision Scientist (Applied Data)

67 700 - 91 500
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Lithuania
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 Decision Scientist (Group Applied Data): Lead hypothesis-driven product experimentation and provide actionable insights from data to drive product improvements in fraud detection and trust within the hirify.global Marketplace with an accent on statistical validation and business impact. Focus on designing A/B tests, analyzing fraud patterns, monitoring KPIs, and enabling self-service analytics for cross-functional teams.

Location: Hybrid (2 days in office recommended, offices across Europe, HQ in Vilnius)

Salary: €67,700 - €91,500 gross per year

Company

Europe’s leading second-hand fashion marketplace connecting millions of users across 20+ markets, with units in marketplace, shipping (hirify.global Go), and payments (hirify.global Pay).

What you will do

  • Partner with product teams and stakeholders to identify opportunities and deliver data-driven recommendations on critical business questions.
  • Detect and investigate fraud patterns alongside other decision scientists.
  • Design, test, and analyze experiments using statistical methods and visualization to validate impact.
  • Select, monitor, and analyze team KPIs, flagging issues and root causes.
  • Build self-service dashboards for stakeholders to access insights independently.
  • Promote data-driven culture through analytics best practices.

Requirements

  • Fluent in English, both written and spoken
  • 3+ years in Decision Science or Data Analytics
  • Strong analytical and problem-solving skills balancing depth with business impact
  • SQL and Python for data analytics
  • BI tools experience (Looker, Tableau, Power BI)
  • Knowledge of statistical methods (A/B testing, regression, inferential techniques)

Nice to have

  • Experience in Trust & Safety or Fraud areas
  • Previous work in product teams

Culture & Benefits

  • Share options programme
  • 25 days paid annual leave
  • Home office support with €540 budget for furniture and newest MacBook
  • Daily lunch allowance, ClassPass gym subsidy, NS mobility card
  • Pension plan (12% total contribution)
  • Up to 90 days workation per year (21 outside EU), dog-friendly office, learning budget

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