HomeData Science Jobs - BharatBinance | Data Scientist Intern - Machine Learning and Algorithms (Risk Management)...

Binance | Data Scientist Intern – Machine Learning and Algorithms (Risk Management) | Bengaluru | Bharat | BigDataKB.com | 13 Oct 2022

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Job Location: Bengaluru

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?

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Data driven based business is the core in helping to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.

As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.

You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.

Responsibilities:

  • Universe risk management: data analysis and modeling to KYC, payment, credit, exchange scenesUser behavior and pattern analysis
  • Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognitionDigital 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:

  • 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 perferred
  • Good experience with Python, Java and/or Scala is preferred
  • Excellent communication skills (English Reading/Writing skills are required)
  • Master’s Degree or above is preferred
  • Experience in Deep Learning is a plus
  • Experience in productionizing machine learning models is a plus




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