Binance Accelerator Program - Data Scientist (Risk Management)

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange. Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.About Binance Accelerator Program Binance Accelerator Program is a concise 3 - 6 months program designed 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. You will be hired under a junior fixed term contract.Our Binance Accelerator Program - Welcome event, starts the first Monday of every month (i.e. April 3, May 1st, June 5th, etc).Who may applyCurrent undergraduate / graduate students and fresh graduates.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:

• 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 preferred
• Good experience with Python, Java and/or Scala is preferred
• Master’s or above is preferred

Working at Binance• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless• Tackle fast-paced, challenging and unique projects• Work in a truly global organization, with international teams and a flat organizational structure• Competitive salary and benefits• Balance life and work with flexible working hours and casual work attireLearn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth. Apply today to be a part of the Web3 revolution! 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.

Listed in: Crypto Jobs, Web3 Crypto Jobs, Marketing Web3 Jobs, Exchange Crypto Jobs, Python Web3 Jobs, Junior Level Crypto Jobs, Data Crypto Jobs, Java Web3 Jobs, Contract Web3 Jobs, Scala Web3 Jobs, Machine Learning Web3 Jobs, Full Time Web3 Jobs.