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8 дней назад

Head of Data Science (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK/Ireland/Portugal
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
Head of Data Science (AI/ML): Building Paddle's data science capability and production decisioning systems for payments, revenue recovery, growth, and risk, with an accent on traditional machine learning, agentic systems, and measurable commercial impact. Focus on delivering the first end-to-end system, operating live models and agents, establishing the production ML stack, and building a senior data science and machine learning engineering team.

Location: Remote from the UK, Ireland, or Portugal

Company

hirify.global provides Merchant of Record and payment infrastructure services for digital product companies, serving more than 6,000 software sellers across 245 territories.

What you will do

  • Build a value-based backlog across payment performance, revenue recovery, sales and marketing operations, growth, monetisation, risk, trust, and compliance.
  • Deliver hirify.global's first automated decisioning system end to end, including analysis, feature engineering, model or agent development, deployment, shadow testing, and A/B testing.
  • Operate live decisioning systems, including monitoring, retraining, drift response, incident handling, rollback, and performance tracking.
  • Establish the production stack with Data Platform and Engineering, including reproducible training data, model registries, inference services, feature stores, evaluation harnesses, trace observability, and monitoring.
  • Measure and report financial value against incumbent strategies, working with Finance and cross-functional stakeholders.
  • Set governance for automated decisioning and build a hub-and-spoke team of senior data scientists and machine learning engineers.

Requirements

  • Experience leading data science or machine learning teams that own production systems and deliver measurable commercial outcomes.
  • Hands-on experience with SQL, Python, feature engineering, model and agent evaluation, and production deployment.
  • Experience with both traditional machine learning and agentic systems, including uplift modelling, feature pipelines, tool and context design, retrieval iteration, evaluation, and trace observability.
  • Strong production ML and engineering knowledge covering training pipelines, model registries, inference services, feature stores, drift detection, latency, availability, observability, and rollback.
  • Experience hiring, developing, and setting standards for senior data scientists and machine learning engineers.
  • Experience in payments, fintech, subscriptions, high-volume commercial operations, or another regulated transactional domain, with familiarity with GDPR, the EU AI Act, auditability, and model risk governance.

Culture & Benefits

  • Remote-first digital work environment with access to company hubs.
  • Unlimited holidays and four months of paid family leave for all team members.
  • Annual learning fund, regular internal and external training, and ongoing development opportunities.
  • Inclusive, transparent, collaborative, and respectful culture with support for workplace accommodations.

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