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6 дней назад

Senior Data Scientist (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
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 Data Scientist (Fintech): Building and deploying credit risk, fraud detection, and real-time transaction decisioning models for Delivery Hero’s financial products with an accent on statistical modelling, machine learning, and end-to-end data science ownership. Focus on designing data pipelines, shipping models to production, monitoring decision systems, and balancing fraud prevention, losses, and approval rates.

Location: Berlin, Germany; hybrid work with attendance at the Berlin campus 2 days per week

Company

hirify.global is a global local delivery platform operating in around 65 countries and building technology for customers, merchants, payments, and financial products.

What you will do

  • Own data science problems end to end, from ambiguous business questions through data preparation, modelling, deployment, monitoring, and adoption.
  • Build and ship fraud detection, anomaly detection, real-time transaction decisioning, acquisition scorecard, and behavioural limit management models.
  • Develop data marts and pipelines that produce features and training datasets.
  • Work closely with Engineering on reliability, deployment, testing, and the data science lifecycle.
  • Explain modelling trade-offs and recommendations to Risk, Compliance, Finance, Payments, and leadership.
  • Use coding agents and LLM tools to accelerate development while reviewing their output for accuracy.

Requirements

  • Track record of owning models from problem definition through validation, deployment, and real business use.
  • Strong Python, SQL, data analysis, testing, and CI/CD skills.
  • Experience with orchestration and scheduled feature or training-data pipelines, such as Airflow.
  • Experience with model deployment and production monitoring, including tools such as Metaflow or Vertex AI.
  • Ability to make defensible decisions under ambiguity and explain modelling trade-offs to non-technical stakeholders.
  • Fluency with AI tooling, coding agents, and LLMs, including reviewing generated code and documentation.

Nice to have

  • Experience in fraud, credit risk, payments, or fintech.
  • Experience with real-time or streaming decisioning systems.
  • Experience building and deploying deep learning models in production.
  • Experience building LLM- or agent-based solutions in production.

Culture & Benefits

  • Hybrid working model with face-to-face collaboration at the Berlin campus.
  • 27 days of holiday, with an additional day in the second and third years of service.
  • €1,000 educational budget, language courses, parental support, and access to Udemy Business.
  • Health checkups, meditation support, and gym subsidy.
  • Employee Share Purchase Plan, sabbatical bank, public transportation discount, life and accident insurance, and corporate pension plan.
  • Digital meal vouchers, food vouchers, and corporate discounts.

Hiring process

  • Interview preparation materials are provided, including common interview questions and answers.
  • Accessibility accommodations can be requested during the interview process.

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