Job Opportunity
We are looking for a talented Data Scientist to join our team and help us develop a cutting-edge e-commerce platform. The primary goal of this project is to modernize, maintain, and develop an e-commerce platform serving millions of customers each week.
The platform is designed by several Product Teams focused on different domains – customer, loyalty, search, browse, data integration, cart. Current priorities include new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without disruption to business.
Key Responsibilities:
1. Design, develop, and optimize semantic and vector-based search solutions using Lucene/Solr and modern embeddings.
2. Apply machine learning, deep learning, and NLP techniques to improve search relevance and ranking.
3. Develop scalable data pipelines and APIs for indexing, retrieval, and model inference.
4. Integrate ML models and search capabilities into production systems.
5. Evaluate, fine-tune, and monitor search performance metrics.
6. Collaborate with software engineers, data engineers, and product teams to translate business needs into technical implementations.
7. Stay current with advancements in search technologies, LLMs, and semantic retrieval frameworks.
Required Skills and Qualifications:
* 5+ years of experience in Data Science or Machine Learning Engineering with a focus on Information Retrieval or Semantic Search.
* Strong programming experience in both Java and Python (production-level code, not just prototyping).
* Deep knowledge of Lucene, Apache Solr, or Elasticsearch (indexing, query tuning, analyzers, scoring models).
* Experience with Vector Databases, Embeddings, and Semantic Search techniques.
* Strong understanding of NLP techniques (tokenization, embeddings, transformers, etc.).
* Experience deploying and maintaining ML/search systems in production.
* Solid understanding of software engineering best practices (CI/CD, testing, version control, code review).
Language:
* English: B2 Upper Intermediate