| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Hong Kong, Hong Kong |
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Binance | Taipei, Taiwan |
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Zinnia | Remote | $122k - $123k | |||
Okx | Remote | $98k - $150k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Okx | Remote | $72k - $72k | |||
Layerzerolabs | Vancouver, Canada | $75k - $77k | |||
Integra | Remote | $88k - $101k | |||
Integra | Remote | $72k - $84k | |||
Phantom | Remote | $185k - $225k | |||
Mysten Labs | United States | $164k - $225k | |||
Kraken | London, United Kingdom | $88k - $89k | |||
Binance | Hong Kong, Hong Kong |
| |||
RiskPod | New York, NY, United States | $150k - $180k | |||
Golfiuns | Remote | $80k - $90k | |||
Okx | Remote | $88k - $119k |
Pioneer Talent Program - Applied Data Scientist (FTE)
About the Pioneer Talent ProgramÂ
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Are you an early-career professional ready to kickstart your career in the dynamic world of blockchain? Binanceâs Pioneer Talent Program is designed to nurture ambitious individuals like you. The program offers full-time roles where participants will gain hands-on expertise via a tailored training curriculum and personalized 1:1 mentorship from industry leaders. Dive behind the scenes of the worldâs leading blockchain ecosystem while building the skills to thrive in Web3. Launch your career with purposeâjoin us in shaping the future of digital innovation. Â
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About the Role
We are seeking an Applied Data Scientist to join our Algorithm team â a hands-on builder at the intersection of LLM systems, agentic AI, and crypto-native intelligence.
You will design, build, and improve AI agents that understand markets, reason over on-chain data, and take actions at speed for hundreds of millions of users â across reasoning models that plan before they act, multi-agent systems that orchestrate complex crypto workflows, and test-time scaling that pushes inference-time intelligence to its limits.
You build for real environments: designing agent architectures, improving performance across quality and latency, developing evaluation methods for open-ended tasks, and turning research ideas into production.
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Who May Apply
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Candidates with up to 5 years of relevant work experience
Responsibilities
- Design and implement production-grade LLM pipelines powering Binance AI Products and next-generation agentic trading features â including multi-step reasoning agents, tool-selection frameworks, and autonomous workflow execution across spot, perpetual, and on-chain markets
- Continuously improve agent capabilities in understanding, reasoning, tool selection, and action execution â optimizing simultaneously for intelligence, latency, and reliability under high-frequency trading constraints
- Build and maintain evaluation frameworks for reasoning model outputs in crypto contexts â covering market analysis accuracy, agent decision quality, hallucination detection, and adversarial robustness against prompt injection in financial workflows
- Apply test-time scaling techniques â chain-of-thought, self-consistency, process reward models â to push agent reasoning quality in ambiguous, fast-moving market conditions
- Architect AI system components with rigorous attention to inference latency, throughput, and cost efficiency â leveraging serving frameworks such as vLLM and TensorRT-LLM â in a zero-downtime, 24/7 trading environment
- Integrate on-chain data sources, wallet intelligence, and crypto market signals into LLM-powered analytical pipelines â building the data layer that makes Binance's agents genuinely crypto-native
- Partner with research scientists to translate experimental findings into production-grade agentic solutions with clear performance benchmarks
Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related technical field
- 0â5 years of industry or research experience in applied ML or AI engineering
- Strong Python programming skills ;Â Equally important: demonstrated comfort with vibe coding â using AI-assisted development tools fluidly as core part of your workflow
- Demonstrated hands-on experience with LLMs â prompt engineering, post-training, or end-to-end LLM application development
- Familiarity with multi-agent system design â task decomposition, tool use via MCP, memory management, parallel agent execution, and inter-agent communication
- Strong analytical thinking and problem decomposition; comfortable operating under ambiguity in fast-moving environments
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.