Binance Accelerator Program - Applied Data Scientist

About the Position

Binance Accelerator Program - Applied Data Scientist

Asia / Taiwan, Taipei / Vietnam, Ho Chi Minh / Japan, Tokyo / Thailand, Bangkok / Australia, Sydney

Engineering – Data Science/AI /

Binance Accelerator Program /

Remote

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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.

About the Role

You'll work directly on the AI systems powering Binance AI Products and next-generation agentic trading features - 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 - 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 - on-chain data, market feeds, news, and sentiment signals.
• Design and run model evaluation experiments - 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 - 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 - 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 - 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 - attention mechanisms, prompting, and the difference between standard generation and reasoning models.
• Structured problem-solving approach and ability to operate independently on defined tasks.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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