Search & Recommendation Data Scientist

Responsibilities

• Analyze global user behavior, search logs, recommendation logs, and content metadata to identify problems and improvement opportunities
• Design statistical and ML model directions and prototypes for personalized recommendations, search ranking, user targeting, conversion prediction, and segment classification
• Discover core features and domain variables for retrieval, ranking, recommendation, and RAG/LLM search systems
• Analyze regional user behavior differences, data bias, and business context to define global search and recommendation algorithm strategies
• Establish offline/online evaluation metrics, experimental designs, and A/B test frameworks to validate new algorithm candidates
• Structure analysis results into model specifications, feature requirements, and evaluation protocols for development teams

Requirements

• Master's degree or equivalent expertise in statistics, mathematics, industrial engineering, econometrics, or computer science
• Experience analyzing and modeling large-scale user behavior data or service logs
• Hands-on modeling experience in classification, regression, clustering, ranking, or recommendation
• Practical understanding of statistical hypothesis testing, experimental design, and A/B testing
• Ability to translate ambiguous service problems into concrete data analysis, model direction, features, and evaluation criteria
• Ability to communicate analysis results into actionable documents for product, service, and engineering teams

Preferred Qualifications

• Experience proposing or improving ranking and recommendation models in search, commerce, content, or advertising platforms
• Experience analyzing regional user behavior differences, data bias, and localization strategies for global or multi-region services
• Experience with causal inference, uplift modeling, synthetic control, causal impact, or multi-armed bandit methods
• Experience with embedding space, semantic search, RAG/LLM-based search services, or agent interaction log analysis
• Proficiency with Python, R, SQL, Pandas, or Spark for large-scale data exploration and modeling
• Experience designing offline/online metrics such as nDCG, recall, MRR, CTR, CVR, and retention to drive service improvements

About the Company

42dot is a mobility AI company that solves mobility challenges through software and AI. As the global software center of the Hyundai Motor Group, 42dot leads software-defined vehicle development and pioneers future mobility solutions.