Data Scientist - LLM (Customer Service) at Binance

Taipei, Taiwan

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Blockchain, CryptocurrencyIndustries

Skills

Key technologies and capabilities for this role

PythonJavaTensorFlowPyTorchScikit-learnSpaCyNLPMachine LearningLarge Language ModelsRAG

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this Data Scientist role?

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include proficiency in Python and Java, experience in machine learning (ML), natural language processing (NLP) libraries, and deep learning frameworks like TensorFlow, PyTorch, Scikit-learn, SpaCy, and NLTK.

What experience is needed for this position?

Candidates need a Master’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or related field, minimum 3 years of relevant AI/ML industry experience, customer service experience, and knowledge of customer service scheduling processes.

What makes a strong candidate for this Data Scientist - LLM role?

A strong candidate will have a Master’s or higher in a relevant field, 3+ years in AI/ML, proficiency in Python/Java and ML/NLP frameworks, plus hands-on experience in customer service and scheduling processes.

Binance

Cryptocurrency exchange for trading and earning

About Binance

Binance is a cryptocurrency exchange platform where users can buy, sell, and trade a variety of cryptocurrencies, including Bitcoin and Ethereum. It offers multiple trading options such as Spot, Margin, and Futures markets, along with a peer-to-peer service for direct transactions. Users can also earn interest on their crypto holdings through Binance Earn and trade NFTs in its marketplace. Binance stands out as the largest crypto exchange by trade volume, aiming to provide comprehensive services for both new and experienced traders.

Valletta, MaltaHeadquarters

2017Year Founded

$9.7MTotal Funding

SERIES_ACompany Stage

Crypto & Web3, Financial ServicesIndustries

5,001-10,000Employees