Binance Accelerator Program - Data Scientist, Risk (Machine Learning and Algorithms)

Company Overview:

Binance is a prominent global blockchain ecosystem known for being the driving force behind the world's largest cryptocurrency exchange. With over 230 million users across 100+ countries, we are esteemed for our top-notch security measures, transparent user fund management, high-speed trading engine, extensive market liquidity, and an unparalleled array of digital asset offerings. Our spectrum of services encompasses trading, finance, education, research, payments, institutional solutions, Web3 functionalities, among others. We harness the potential of digital assets and blockchain technology to establish an all-encompassing financial ecosystem, promoting financial inclusivity and enhancing global financial accessibility.

About Binance Accelerator Program:

The Binance Accelerator Program is a focused program catering to Early Career Talent, aimed at providing an enriching experience within the rapidly expanding Web3 domain. Participants will have the opportunity to gain insights into Binance's inner workings and embrace the foundational elements of the leading blockchain ecosystem. Beyond the job role, the program emphasizes networking and skill development to expand professional connections and cultivate transferable skills for advancing in one's career.

Eligibility:

Suitable for current university students and recent graduates

At Binance, data serves as the cornerstone of our operations, fueling a cloud-native platform capable of supporting millions of users. This infrastructure empowers engineers and data scientists to unlock valuable insights and foster innovation on a vast scale.

As a Data Scientist at Binance, you will engage with massive datasets and cutting-edge machine learning tools to craft impactful data solutions reaching millions of global users. Collaboration with skilled professionals across engineering, analytics, product management, marketing, and business functions is fundamental in pioneering features, models, algorithms, and end-to-end solutions that push the boundaries of data and AI applications in the realm of cryptocurrency.

Responsibilities:

• Universe Risk Management: Analyze data and build models related to key domains such as KYC, payments, credit, and exchange operations to discern risk indicators.
• Personalized Services & Anomaly Detection: Utilize extensive data resources for thorough user analysis and creation of personalized services, along with developing automated anomaly detection systems.
• Blockchain-Based Data Insights: Extract and analyze blockchain data to derive predictive insights and tailored recommendations.
• Customer Feedback & Satisfaction Analysis: Employ machine learning techniques to evaluate customer feedback and satisfaction, offering data-driven insights for enhancing products and services.

Requirements:

• Ability to commit to a term of 6 to 12 months.
• Currently enrolled as a full-time undergraduate or graduate student.
• Preference for a Master’s degree or higher in a relevant field.
• Demonstrated experience in developing machine learning models at scale with comprehensive knowledge of modern techniques.
• Proficiency in handling large-scale datasets and distributed data processing.
• Proficiency in Python, Java, or Scala; familiarity with deep learning frameworks is advantageous.
• Hands-on experience in deploying machine learning models in production is beneficial.