| Position | Binance Accelerator Program - Data Scientist (TechOps) | 
| Posted | 2025 October 05 | 
| Expired | 2025 November 04 | 
| Company | Binance | 
| Location | Jinoba-an, Negros | PH | 
| Job Type | Full Time | 
Latest job information from Binance for the position of Binance Accelerator Program - Data Scientist (TechOps). If the Binance Accelerator Program - Data Scientist (TechOps) vacancy in Jinoba-an, Negros matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Binance for the position of Binance Accelerator Program - Data Scientist (TechOps) below matches your qualifications.
Binance is the global blockchain company behind the world's largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money. Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing 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 Who may apply Current University students who can commit at least 6 months tenure, 5 days per week . Responsibilities Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognition digital data asset Obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer's feedback and satisfaction with proven data evidence and analysis Requirements
Must be a full-time undergraduate /graduate student in good academic standing Project experience with developing machine learning models at scale Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc Good experience with processing large size data is preferred Good experience with Python, Java and/or Scala is preferred Master's or above is preferred #J-18808-Ljbffr
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