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Jobs(27,187)/Data Scientist Role(239)/Binance (156) - Accelerator Program - Data Scientist (On Chain background) Fully Remote
Binance

Binance - Accelerator Program - Data Scientist (On Chain background) Fully Remote

Australia; Hong Kong; Malaysia; New Zealand; Singapore; Taiwan2d ago
In OfficeAPACCryptocurrencyArtificial IntelligenceData ScientistPhD StudentPythonDocumentationExpressLearning & DevelopmentDeFiSmart ContractsSolidityData Analysis

Requirements

• Currently enrolled Master's or PhD student in Computer Science, Artificial Intelligence, Mathematics, Financial Engineering, or related field; able to commit to stable weekly internship hours. • Strong interest in the intersection of AI and blockchain/cryptocurrency; foundational knowledge of at least one direction (e.g., large language models, agents, or blockchain, smart contracts, DeFi). • Proficient in Python with solid programming and engineering implementation skills; able to independently complete prototype development. • Strong learning ability and curiosity; able to quickly pick up new technologies and directions; proactive in exploring unknown problems. • Good communication and documentation skills; able to clearly express technical research conclusions and experimental results. • Bonus • Experience with LLM/agent-related projects, papers, or open-source contributions. • Familiarity with blockchain development (Solidity, on-chain data analysis, wallet/transaction interaction) or practical experience with DeFi and on-chain trading. • Personal projects, hackathon participation, or internship experience in AI × Crypto. • Papers published at top conferences (NeurIPS, ICML, ACL, etc.) or outstanding open-source projects.

Responsibilities

• Track frontier technologies and industry developments in AI and blockchain/cryptocurrency; conduct technical research and produce valuable analysis and insights. • Paticipate in pre-research topics in the AI × Crypto direction, exploring the feasibility of large models, agents, and other technologies in on-chain trading, data analysis, and intelligent application scenarios. • Rapidly build technical prototypes (PoCs) to validate innovative ideas and produce reproducible experimental conclusions. • Participate in application-level exploration and development, advancing pre-research outcomes into demonstrable and evaluable product prototypes. • Collaborate with algorithm and engineering teams to participate in discussions and drive topics toward implementation.

Benefits

• Shape the future of finance • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

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