Search & Recommendation Data Scientist(Intelligence Planning)
Core
Designing statistical and ML models for global search and recommendation systems to analyze user behavior, define improvement opportunities, and connect analysis results to development teams.
Role type
Senior IC Search & Recommendation Data Scientist
Builds
Search and recommendation algorithms, ranking models, and feature specifications for a mobility AI platform.
Domain
Mobility AI / Software-defined vehicles / Global user behavior analytics
Deliverable
production ML models
Required skills
Statistical modeling, classification, regression, clustering, ranking, recommendation, hypothesis testing, A/B test design, feature engineering, data bias analysis, offline/online evaluation metrics
Preferred skills
Causal inference, uplift modeling, synthetic control, embedding spaces, semantic search, RAG/LLM analysis, Python, SQL, Spark
Technologies
Python, R, SQL, Pandas, Spark
Responsibilities
Analyze global user behavior data and logs to define search/recommendation problems; Design statistical/ML model directions for personalization and ranking; Identify core features and domain variables for retrieval and RAG/LLM; Propose strategies for global algorithm application considering regional differences; Establish evaluation protocols and A/B test frameworks for new algorithms; Structure analysis results into model specifications and feature requirements for the development team.
Seniority
Senior, hands-on IC