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Binance
Australia, Brisbane
Binance Accelerator Program - Data Scientist, Analytics
Taiwan, Taipei / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / New Zealand, Auckland / New Zealand, Wellington / Philippines, Manila / South East Asia / Thailand, Bangkok / UAE, Abu Dhabi / UAE, Dubai / Vietnam, Ho Chi Minh / Asia
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. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE.
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Who may apply
Current university students and recent graduates.
Responsibilities
- ETL Support: Assist with data extraction, transformation, and loading to ensure reliable and accurate datasets.
- Database Management: Write, optimise, and troubleshoot SQL queries; work with relational and non-relational databases.
- Data Analysis & Insights: Explore and analyse datasets to identify trends, patterns, and actionable insights.
- Reporting & Visualisation: Develop and maintain dashboards and reports using tools such as Excel, Datawind Dashboard, Tableau, or Power BI.
- Collaboration: Work closely with analysts, data scientists, and engineers on cross-functional projects.
- Documentation & Best Practice: Contribute to process documentation, data dictionaries, and continuous improvement initiatives.
Requirements
- Currently studying towards a degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Basic knowledge of SQL and experience with at least one database management system (e.g., MySQL, PostgreSQL, SQL Server, or MongoDB).
- Familiarity with data analysis tools such as Excel, Python (pandas, NumPy), or R.
- Strong analytical, critical thinking, and problem-solving abilities.
- Excellent communication and teamwork skills.
- Detail-oriented, organised, and able to manage multiple priorities.
Preferred Qualifications:
- Hands-on experience with data visualisation tools (e.g., Tableau, Power BI, or Datawind Dashboard).
- Previous internship, coursework, or project work in data analysis, data engineering, or machine learning.
- Understanding of ETL processes, data warehousing concepts, or cloud data platforms (AWS, Azure, or GCP).
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.
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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.