3 дня назад
Data Scientist (NLP/Search)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (NLP/Search) (NLP, Information Retrieval, E-commerce): Building multilingual query-understanding, semantic retrieval, and vector-search models for product discovery across Trendyol markets with an accent on Arabic-language search, spelling correction, and language-specific NLP challenges. Focus on designing evaluation methodologies, validating improvements through A/B experiments, and deploying reliable production ML systems with strong quality and latency.
Location: Istanbul / Maslak, Turkey; hybrid workplace
Company
Tech enables e-commerce through technology and builds search and language-intelligence solutions for customers across multiple markets.
What you will do
- Develop multilingual query-understanding capabilities, including spelling correction, normalization, rewriting, intent detection, and semantic retrieval.
- Build and evaluate vector-search, embedding, and retrieval models to improve product-discovery relevance.
- Lead Arabic-language search initiatives addressing dialect variation, morphology, transliteration, mixed-language queries, and spelling errors.
- Analyze search queries, product content, user interactions, and linguistic signals across large-scale structured and unstructured datasets.
- Design offline evaluation methods and quality metrics, validate improvements through online A/B experiments, and monitor post-deployment performance.
- Collaborate with Search, Pre-Search, Ranking, Product, and Engineering teams to deliver scalable machine-learning solutions and improve production quality, latency, reliability, and deployment cycles.
Requirements
- Experience in applied data science and machine learning, preferably in NLP, information retrieval, search, or language modeling.
- Professional working proficiency in Arabic, including Arabic grammar, morphology, spelling conventions, dialectal variation, and search-query behavior.
- Experience with transformer-based language models, text embeddings, semantic search, retrieval, reranking, query understanding, or spelling correction.
- Strong Python and SQL skills, with practical experience using machine-learning libraries such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers.
- Experience with A/B experiments, offline evaluation, statistical analysis, and ambiguous product problems.
- Excellent written and verbal English communication skills.
Nice to have
- Native-level Arabic proficiency.
- Experience with Arabic NLP resources, datasets, tokenization, or normalization approaches.
- Experience with vector databases, approximate nearest-neighbor search, embedding models, or large-scale retrieval systems.
- Experience in e-commerce, marketplaces, search, recommendation, or self-service platforms.
- Turkish language skills.
Culture & Benefits
- Hybrid working model with flexibility, including work-from-abroad opportunities and a summer working model.
- Customisable FlexBenefits budget covering meals, health insurance, fuel support, and shopping credits.
- Well-being support including doctors, psychologist and dietitian services, and HPV vaccination.
- Annual training and conference allowance, learning-platform access, and in-person learning sessions.
- International collaboration with colleagues across offices in Berlin, Amsterdam, Dubai, and other locations.
- Ownership from day one, mentoring, team rituals, events, and opportunities for professional growth.
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