Trendyol - Data Scientist (Pre-Search)
Requirements
• Experience in applied data science and machine learning, ideally in NLP, information retrieval, search, or language modeling domains. • Professional working proficiency in Arabic, with a strong understanding of Arabic grammar, morphology, spelling conventions, dialectal variation, and common search-query behavior. Native-level proficiency is a strong plus. • Practical experience with modern NLP methods, including transformer-based language models, text embeddings, semantic search, retrieval, reranking, query understanding, or spelling correction. • Familiarity with Arabic NLP resources, datasets, tokenization or normalization approaches, and evaluation challenges is highly preferred. • Strong Python skills and hands-on experience with relevant ML libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, or similar frameworks. • Strong SQL knowledge and familiarity with data-analysis best practices. • Experience with vector databases, approximate nearest neighbor search, embedding models, or large-scale retrieval systems is a strong plus. • Experience designing and interpreting A/B experiments, offline evaluations, and statistical analyses. • Strong analytical skills, a data-driven mindset, and the ability to work effectively with ambiguous product problems. • Excellent written and verbal communication skills in English. Turkish is a plus. • Experience in e-commerce, marketplaces, search, recommendation, or self-service platforms is a plus.
Responsibilities
• Develop and improve query understanding capabilities for Trendyol's search experience across multiple regions and languages, including spelling correction, query normalization, query rewriting, intent detection, and semantic retrieval. • Build and evaluate vector search, embedding, and retrieval models that improve the relevance of product discovery for customers across different markets. • Take a leading role in Arabic-language search initiatives, addressing language-specific challenges such as dialectal variation, orthographic normalization, transliteration, morphology, mixed-language queries, and spelling errors. • Analyze large-scale structured and unstructured data, including search queries, product content, user interactions, and linguistic signals across the Trendyol ecosystem. • Design robust offline evaluation methodologies and quality metrics for query understanding, spelling correction, and retrieval systems; validate improvements through online A/B experiments. • Collaborate closely with Search, Pre-Search, Ranking, Product, and Engineering teams to translate customer and business needs into scalable machine learning solutions. • Improve model quality, latency, reliability, and deployment cycles by applying MLOps best practices to production ML systems. • Monitor model and search-quality performance after deployment, investigate regressions, and continuously iterate based on data and user feedback. • Communicate methodology, findings, and expected business impact clearly to technical and non-technical stakeholders.
Benefits
• Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model. • Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits. • Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision. • Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year. • Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued. • A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment. • Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring. • Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired. • Take the Next Step • If this role excites you, apply today, we look forward to taking the next step with you. • Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
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