Senior Data Scientist, Buyer (Search & Recommendations)
Контакты
67 700 - 91 500€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
pythonsqlmachine learninga b testingdeep learninginformation retrievalrecommendation systemsgradient boostingsearch relevance
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
€68к-92к/год
€70к€110кмедиана€180к
По похожим ролям (50) ~ €110к/год
На СНГ рынке: $4.1к/мес ($3.5к - $5.3к)
76
Хорошая вакансия
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Вакансия предлагает масштабные задачи в поиске и рекомендациях в крупной продуктовой компании, но зарплатный диапазон ниже медианы рынка для сопоставимых senior-позиций.
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Ниже рынкаАктуальный стекПонятная рольБольшой масштабБюджет на обучение
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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