NLP Data Scientist: Arabic Search & Relevance

Trendyol Group; Fatih; Hybrid; TRY 400,000 - 660,000; Full time

Benefits offered by this job

Hybrid working model

FlexBenefits budget

Well-being support

Learning budget & training allowances

Global mentoring

Job summary

Trendyol Group is seeking a Data Scientist to advance language intelligence and retrieval foundations behind Trendyol Search across multiple regions. You will contribute to multi-regional models for spelling correction, query understanding, semantic and vector search, with a focus on improving Arabic-language search experience.

You will collaborate with Search, Pre-Search, Ranking, Product, and Engineering teams to translate customer needs into scalable ML solutions, while applying MLOps to

Qualifications

• Experience in applied data science and ML, with NLP or IR focus.
• Strong Python skills and ML library experience (PyTorch, TF).
• Professional English communication; Turkish a plus.
• Familiarity with Arabic NLP resources and evaluation is highly preferred.

Responsibilities

• Develop and improve query understanding for Trendyol Search across regions and languages.
• Build and evaluate vector search, embeddings and retrieval models to boost product discovery.
• Lead Arabic-language search initiatives addressing dialectal variation and spelling issues.
• Analyze large-scale data including queries, content, and user interactions.
• Design offline evaluation methodologies and validate improvements via online experiments.

Skills

NLP

Information Retrieval

Python

Arabic NLP

Vector Search

SQL

Education

Bachelor's in CS/ML

Tools

PyTorch

TensorFlow

Hugging Face Transformers

scikit-learn

Job description

Trendyol Group is seeking a Data Scientist to advance language intelligence and retrieval foundations behind Trendyol Search across multiple regions. You will contribute to multi-regional models for spelling correction, query understanding, semantic and vector search, with a focus on improving Arabic-language search experience.

You will collaborate with Search, Pre-Search, Ranking, Product, and Engineering teams to translate customer needs into scalable ML solutions, while applying MLOps to