4 часа назад
Data Scientist (Machine Learning)
61 200 - 100 100€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Machine Learning): Building and optimizing retrieval, ranking, and personalization models for Vinted’s search and recommendation systems with an accent on real-time serving, large-scale data, and rigorous experimentation. Focus on designing ML pipelines, optimizing millisecond-level inference, and measuring product impact through offline evaluation and online A/B testing.
Location: Hybrid work; 2 days in the office are recommended but not enforced. Up to 90 days per year may be spent on workation, including 21 days working outside the EU.
Annual gross salary: €61,200–€100,100.
Company
is a Lithuania-founded second-hand marketplace group operating Marketplace, Go, and Pay across Europe.
What you will do
- Build and optimize end-to-end machine learning models for search retrieval, ranking, and personalized recommendations.
- Partner with platform and software engineers to deploy models in search and recommendation engines with high-throughput and millisecond-level latency requirements.
- Design modeling approaches, features, and training pipelines through collaborative technical proposals.
- Define tracking requirements, conduct offline evaluations, and design and analyze online A/B tests.
- Translate product opportunities and business problems into machine learning objectives with Data, Engineering, and Product stakeholders.
- Share knowledge, participate in peer reviews, and support the development of other data scientists.
Requirements
- Production experience designing, training, and deploying machine learning models, ideally for search, recommendations, or large-scale personalization.
- High proficiency in Python and SQL, with experience using deep learning frameworks and gradient boosting libraries.
- Understanding of information retrieval, Learning-to-Rank, semantic search, or sequence-based user preference modeling.
- Experience or strong interest in high-performance model serving and working with massive datasets in cloud-based data warehouses.
- Strong knowledge of statistics, offline evaluation metrics, and online A/B testing methodologies.
Nice to have
- Familiarity with Vespa or Elasticsearch and serving frameworks such as Triton.
Culture & Benefits
- Hybrid workplace with team-agreed office days.
- €540 personal budget for home-office furniture and IT workstation equipment.
- 30 days of paid annual leave, private health insurance, life and disability insurance, and pension matching.
- Annual learning budget for courses, certifications, and workshops.
- Share options, lunch benefit, shopping budget, gym membership discount, and team-building events.
- Dog-friendly office and confidential Employee Assistance Program for employees and their families.
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