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4 дня назад

Data Scientist (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Italy
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 (Fintech): Develop predictive models and advanced analytics to optimize commercial funnel and customer retention with an accent on churn prediction, uplift modeling, and A/B testing. Focus on designing robust ML models, translating business questions into data problems, and collaborating with commercial teams to drive smarter decisions.

Location: Onsite in Milan, Italy

Company

hirify.global is a fast-growing European fintech company providing an all-in-one payments and money management platform trusted by over 250,000 businesses.

What you will do

  • Develop and maintain predictive models for churn, LTV, and lead scoring to optimize commercial funnel.
  • Design and analyze A/B tests to measure impact of pricing, campaigns, and product features.
  • Apply uplift modeling to identify merchants for retention and upsell efforts.
  • Translate complex business questions into data problems and actionable insights for stakeholders.
  • Monitor model performance and ensure accuracy as market conditions change.
  • Collaborate with machine learning engineers to prepare models for production.

Requirements

  • Location: Must be onsite in Milan, Italy
  • 3+ years experience in data science or advanced analytics focused on commercial or growth problems.
  • Proficiency in Python, SQL, statistics, machine learning, and experimentation (A/B testing).
  • Ability to communicate complex data insights clearly to commercial teams and leadership.
  • Familiarity with cloud environments (GCP, BigQuery) and version control (Git).
  • English: B2 level or higher required

Nice to have

  • Experience with AI and machine learning platforms.

Culture & Benefits

  • Personal growth focus with regular feedback and transparent salary reviews.
  • Opportunities to explore new challenges and career paths internally.
  • Supportive environment with tools and trust to develop skills and deliver impact.

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