Search & Recommendation Data Scientist(Intelligence Planning)
Pangyo (Software Dream Center), South Korea
KRW 30880K-30880K (estimate) Senior-level Full Time
Tasks
- Analyze data bias and regional user behavior differences
- Analyze user behavior data for search and recommendation
- Communicate findings with product and engineering teams
- Define search and recommendation problems
- Design offline and online evaluation metrics
- Design statistical and machine learning model drafts
- Identify features for retrieval ranking recommendation and semantic search
- Run A B testing evaluation
- Structure results into model specification and evaluation protocol
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | CTR | CVR | Causal Discovery | Causal Impact | Causal Inference | Classification | Clustering | Embedding Space | Experiment design | Feature Engineering | Hypothesis Testing | Language Models | Large Language Models | MRR | Machine Learning | Multi-Armed Bandit | NDCG | Pandas | Python | R | Ranking | Recall | Recommendation | Regression | Retention | Retrieval | Retrieval-Augmented Generation | SQL | Semantic Search | Statistical Hypothesis Testing | Uplift Modeling
Education
Roles
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