Binance Accelerator Program - Applied Data Scientist

Crypto Pro Network; Hinoba-an; On-site; PHP 40,000 - 70,000; Full time

Benefits offered by this job

Competitive salary

Company benefits

Work-from-home arrangement

Job summary

Crypto Pro Network is offering a thrilling opportunity to participate in the Binance Accelerator Program. This immersive short-term program aims to create AI-driven systems for agentic trading in the Web3 space. Expect a collaborative environment addressing real-world challenges.

The ideal applicants are currently enrolled in relevant technical degrees and possess strong Python skills. Enjoy competitive salary, work-from-home flexibility, and the chance to contribute to innovative crypto solutions.

Qualifications

• Currently pursuing a degree with expected graduation in 2026 or 2027.
• Strong Python programming skills needed.
• Foundational understanding of large language models.

Responsibilities

• Contribute to design and development of LLM-powered pipelines.
• Analyze agent performance in live trading scenarios.
• Apply AI-native development practices using agentic coding tools.

Skills

Python programming

AI-native development practices

Problem-solving

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Tools

Claude Code

Cursor

GitHub Copilot Workspace

Job description

Binance Accelerator Program

Binance offers a short‑term, immersive program for early‑career talent to develop and ship AI‑driven systems in the Web3 space. Participants work with real problems on LLM‑powered agentic trading and build components that are deployed across crypto markets.

Responsibilities

• Contribute to the design and development of LLM‑powered pipelines for agentic trading, including reasoning agent components, tool‑use frameworks, 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 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 a related technical field.
• Expected graduation in 2026 or 2027.
• Strong Python programming skills with demonstrated AI‑native development practices—using agentic coding tools such as Claude Code, Cursor, or GitHub Copilot Workspace.
• Foundational understanding of how large language models work, including attention mechanisms, prompting, and the difference between standard generation and reasoning models.
• Structured problem‑solving approach and ability to operate independently on defined tasks.

Benefits

• Competitive salary and company benefits.
• Work‑from‑home arrangement, subject to the 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.