
Binance Accelerator Program - Applied Data Scientist
- ๐ง๐ฉ Bangladesh | ๐จ๐ณ China | ๐ฎ๐ฉ Indonesia | ๐ฎ๐ณ India | ๐ฎ๐ท Iran | ๐ฏ๐ด Jordan | ๐ฏ๐ต Japan | ๐ฐ๐ท South Korea | ๐ฐ๐ฟ Kazakhstan | ๐ฑ๐ฆ Laos | ๐ฑ๐ง Lebanon | ๐ฑ๐ฐ Sri Lanka | ๐ฒ๐ฒ Myanmar | ๐ฒ๐ป Maldives | ๐ฒ๐พ Malaysia | ๐ณ๐ต Nepal | ๐ด๐ฒ Oman | ๐ต๐ญ Philippines | ๐ต๐ฐ Pakistan | ๐ธ๐ฌ Singapore | ๐น๐ญ Thailand | ๐น๐ท Turkey | ๐น๐ผ Taiwan | ๐ป๐ณ Vietnam | ๐พ๐ช Yemen
- Remote
- 5 months ago
- AI
- MCP
- Python
- Claude Code
- Cursor
- Large Language Models
About the Role
You'll work directly on the AI systems powering Binance AI Products and next-generation agentic trading features โ alongside the full-time algorithm team, on real production challenges.
You own deliverables, run experiments, and ship code that matters. You build components of AI systems (agents, pipelines, evaluation tools), debug real systems, and work with engineers to ship features that reach users.
This is not a "watch and learn" program. You are expected to build, contribute, and ship.
Responsibilities
Contribute to the design and development of LLM-powered pipelines for agentic trading โ including reasoning agent components, tool-use frameworks via MCP, and automated workflow execution across crypto markets.
Build and evaluate prompt engineering strategies, test-time scaling approaches, and retrieval architectures for crypto-native data sources โ on-chain data, market feeds, news, and sentiment signals.
Design and run model evaluation experiments โ defining quality metrics for agent reasoning in financial contexts, executing benchmarks, and synthesizing results into actionable findings.
Analyze agent performance characteristics in live trading scenarios โ covering decision accuracy, latency, reliability, and adversarial robustness.
Apply AI-native development practices using agentic coding tools as a standard part of the engineering workflow โ writing and executing Python code for strategy logic, data pipelines, and agent evaluation.
Requirements
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
Expected graduation in 2026 or 2027.
Strong Python programming skills with demonstrated AI-native development practices โ you use agentic coding tools (Claude Code, Cursor, GitHub Copilot Workspace) as a core part of your workflow.
Foundational understanding of how large language models work โ attention mechanisms, prompting, and the difference between standard generation and reasoning models.
Structured problem-solving approach and ability to operate independently on defined tasks.
Binance Accelerator Program - Applied Data Scientist ยท Binance