Senior Data Scientist, Buyer

In this role you will build end-to-end ML models for retrieval, ranking, and personalization to help buyers find the perfect items in Vinted’s vast catalog. You will work closely with engineers to deploy models in high-throughput, low-latency search and recommendation systems. You’ll design evaluations and experiments to quantify business impact and collaborate with product and data partners to translate problems into ML solutions. This is a chance to shape discovery at scale in a collaborative, research-driven environment with an in-house experimentation platform.

• share options programme
• 25 days of paid annual leave
• Newest MacBook models
• Lunch benefit
• Learning budget
• Hybrid work

• Build and optimize end-to-end machine learning models for retrieval, ranking, and personalization
• Collaborate with platform and software engineers to serve models in search and recommendation engines with millisecond latency
• Lead or contribute to design proposals for new modeling approaches, features, or training pipelines
• Define tracking requirements, perform offline evaluations, and design online A/B tests to measure business impact
• Collaborate with Data, Engineering and Product stakeholders to identify opportunities and align on technical trade-offs
• Share knowledge and contribute to the ML Guild and Data Science & Analytics growth

• Proficiency in Python and SQL
• Experience with deep learning frameworks and gradient boosting libraries
• Solid understanding of information retrieval, Learning-to-Rank, semantic search, or sequence-based modeling
• Experience or interest in high-performance model serving
• Familiarity with Vespa or Elasticsearch, and serving frameworks like Triton is a plus
• Experience with cloud-based data warehouses and large datasets
• Strong grasp of statistics, offline metrics, and online A/B testing

• collaborative
• strong communication
• problem-solving mindset
• Python
• SQL
• deep learning frameworks