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7 дней назад

Senior Data Scientist, Buyer (Search & Recommendations)

67 700 - 91 500€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
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, Buyer (Search & Recommendations): Building and optimizing machine learning models for search retrieval, ranking, personalization, and recommendation systems with an accent on real-time serving, massive datasets, and millisecond-level latency. Focus on designing offline evaluations and online A/B tests, developing high-throughput model pipelines, and translating product opportunities into measurable ML objectives.

Location: Amsterdam, Netherlands. Hybrid work with 2 days in the office recommended but not enforced; working days are agreed with the team.

Annual gross salary: €67,700–€91,500.

Company

hirify.global is a European second-hand marketplace connecting millions of members across 20+ markets to buy and sell pre-loved items.

What you will do

  • Build and optimize end-to-end machine learning models for retrieval, ranking, and personalization.
  • Develop solutions such as gradient-boosting models, two-tower architectures, sequence models, and neural rerankers.
  • Partner with platform and software engineers to deploy models in search and recommendation engines with high throughput and millisecond-level latency.
  • Define tracking requirements, conduct offline evaluations, and design and analyze online A/B tests.
  • Collaborate with Data, Engineering, and Product stakeholders to translate business problems into ML objectives.
  • Contribute to design proposals, peer reviews, knowledge sharing, and the development of the ML and Data Science communities.

Requirements

  • Hands-on experience designing, training, and deploying machine learning models in production.
  • High proficiency in Python and SQL, with experience using deep learning frameworks and gradient-boosting libraries.
  • Strong understanding of information retrieval, Learning-to-Rank, semantic search, or sequence-based user preference modeling.
  • Experience with high-performance model serving and massive datasets in modern cloud-based data warehouses.
  • Strong knowledge of statistics, offline evaluation metrics, and online A/B testing methodologies.

Nice to have

  • Experience in search, recommendations, or large-scale personalization.
  • Familiarity with Vespa, Elasticsearch, or Triton.

Culture & Benefits

  • Hybrid workplace model with collaborative team-based office days.
  • 25 days of paid annual leave and a Collective Defined Contribution Pension plan.
  • Annual learning budget for courses, certifications, and workshops.
  • Share options programme, employee assistance for employees and families, and frequent team-building events.
  • Home-office equipment and a personal furniture budget of up to €540.
  • Workation of up to 90 days per year, including up to 21 days working outside the EU.

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