Senior Data Scientist, Buyer – Real‑Time ML Relevance

Vinted; Amsterdam; Hybrid; EUR 68,000 - 92,000; Full time

Benefits offered by this job

Share options programme

25 days paid annual leave

Newest MacBook models

Employee Assistance Program (EAP)

Home office budget €540 for furniture

Lunch benefit

Job summary

Vinted is seeking a Data Scientist for the Buyer Domain to build and optimize ML models powering search relevance and personalized homepage recommendations. You will work on real-time ranking, dense retrieval, and large-scale personalization within a collaborative, hybrid-work environment.

Expect to partner with engineers and data teams, design experiments, and contribute to product decisions that impact millions of listings across Europe.

Qualifications

• Hands-on experience designing, training, and deploying ML models in production.
• Strong Python and SQL proficiency.
• Solid understanding of IR / Learning-to-Rank (LTR) and semantic search.
• Experience with high-performance model serving is a plus.

Responsibilities

• Build and optimize end‑to‑end machine learning models for retrieval, ranking, and personalization.
• Partner with platform/engineers to serve models in search/recommendation engines.
• Lead or contribute to design proposals for new modeling approaches.
• Define tracking requirements and design offline evaluations and online A/B tests.
• Collaborate with Data, Engineering and Product stakeholders to identify opportunities and trade-offs.
• Share knowledge and contribute to ML Guild and Data Science & Analytics growth.

Skills

Python

SQL

Machine Learning

Information Retrieval

MLOps

Vespa

Elasticsearch

Triton

Tools

Vespa

Elasticsearch

Triton

Job description

Vinted is seeking a Data Scientist for the Buyer Domain to build and optimize ML models powering search relevance and personalized homepage recommendations. You will work on real-time ranking, dense retrieval, and large-scale personalization within a collaborative, hybrid-work environment.

Expect to partner with engineers and data teams, design experiments, and contribute to product decisions that impact millions of listings across Europe.