Data Scientist Intern
Core
Researching machine learning, deep learning, and recommendation algorithms using game data to design, evaluate, and improve online AI serving strategies and user retention.
Role type
Data Scientist Intern (Machine Learning & Data Mining)
Builds
Core algorithms for online AI serving, user behavior models, and data analysis pipelines for game products.
Domain
Gaming / Mobile Games / Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
statistical models, machine learning principles, data mining, clustering, classification, programming languages, data structures, algorithms
Preferred skills
academic publications, NLP (sentiment analysis, text summary, LLM fine-tuning), causal inference, optimization algorithms, big data experience, distributed computation frameworks (Hadoop, Spark, Hive)
Technologies
Hadoop, Spark, Hive
Responsibilities
Research state-of-the-art ML and deep learning with game data; conduct statistical analysis on large-scale data to build user portraits; perform sentiment analysis and topic modeling on user comments; identify user pain points and propose retention strategies; improve data analysis pipelines using distributed computation platforms; research AI agents for pipeline upgrades.
Seniority
Intern
