Senior Data Scientist - Finance
MercuryFull Time
Senior (5 to 8 years)
Candidates must be a full-time undergraduate or graduate student in good academic standing, possess project experience with developing machine learning models at scale, demonstrate a deep understanding of modern machine learning techniques and their mathematical foundations, including classifications, recommendation systems, optimization, and preferred experience with processing large datasets, and have proficiency in programming languages such as Python, Java, or Scala. A Master’s degree or higher is preferred.
The Data Scientist (TechOps) will leverage the PB-scale data warehouse to perform in-depth analysis, build personalized services, and automate the recognition of abnormal user behavior within the digital asset space. They will obtain blockchain-based data for chain-based analysis, prediction, and recommendations, conduct data-driven customer feedback and satisfaction analysis using machine learning techniques, and provide data evidence and analysis to support these efforts. Additionally, they will contribute to the development of innovative solutions within the Binance ecosystem and participate in networking and development activities as part of the Binance Accelerator Program.
Cryptocurrency exchange for trading and earning
Binance is a cryptocurrency exchange platform where users can buy, sell, and trade a variety of cryptocurrencies, including Bitcoin and Ethereum. It offers multiple trading options such as Spot, Margin, and Futures markets, along with a peer-to-peer service for direct transactions. Users can also earn interest on their crypto holdings through Binance Earn and trade NFTs in its marketplace. Binance stands out as the largest crypto exchange by trade volume, aiming to provide comprehensive services for both new and experienced traders.