6 дней назад
Senior Data Scientist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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