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2 дня назад

Data Science Manager (AI)

71 750 - 117 875
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Germany
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 Science Manager (AI) (Payments Analytics): Developing data-driven analytics and AI solutions that help payment clients grow their businesses with an accent on predictive modeling, machine learning, agentic AI, and large-scale data preparation. Focus on translating commercial problems into production-grade analytical workflows, evaluating agent reliability, and communicating insights through compelling storytelling and visualization.

Location: Frankfurt, Germany; at least 3 days in the office

Salary: €71,750–€117,875 per year, with potential bonus, equity, and sales incentive payments where applicable.

Company

Global payments technology company serving consumers, merchants, financial institutions, governments, and clients in more than 200 countries and territories.

What you will do

  • Develop data-driven and commercially viable propositions using large-scale payment data and value-added services.
  • Partner with Sales, consulting, and Product teams to identify opportunities and convert insights into funded client projects.
  • Define business problems, commercial outcomes, success metrics, analytical methodologies, and delivery plans with internal and external stakeholders.
  • Execute Data Science projects using statistical and AI techniques to generate business-focused insights.
  • Provide subject-matter expertise and quality assurance across complex Data Science engagements.
  • Feed recurring client needs and market trends into the Data Science product and solution roadmap.

Requirements

  • Advanced analytics and AI experience, including predictive modeling, machine learning, experimentation, or agentic AI systems.
  • Strong hands-on experience with data preparation, feature engineering, and large, complex datasets.
  • Programming skills in Python and SQL, including production-grade data manipulation and machine learning workflows.
  • Experience designing agentic AI workflows with multi-step reasoning, tool-augmented agents, orchestration frameworks, reliability evaluation, and production failure-mode management.
  • Familiarity with LLM integration, prompt engineering, retrieval-augmented generation, function or tool calling, and memory management.
  • Ability to work from the Frankfurt office at least 3 days per week and communicate complex technical concepts to non-technical stakeholders.

Culture & Benefits

  • Opportunity to work on large-scale data and analytics challenges with measurable client and business impact.
  • Medical, dental, and vision coverage.
  • Pension, life insurance, annual leave, and wellness program.
  • Potential eligibility for bonus, equity, and sales incentive payments.

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