Binance Accelerator Program - Data Scientist, Risk (P2P & Content Risk AI)
Binance operates as a prominent blockchain ecosystem that houses one of the largest cryptocurrency exchanges globally, catering to over 230 million users in more than 100 countries. Known for its exceptional security, transparent user funds, high-speed trading engine, extensive liquidity, and diverse range of digital asset products, Binance's offerings encompass trading, finance, education, research, payments, institutional services, and Web3 features. The platform harnesses the potential of digital assets and blockchain technology to construct an inclusive financial environment that promotes financial freedom and enhances global financial accessibility.
The Binance Accelerator Program serves as a structured program aimed at Early Career Talent, providing a comprehensive experience within the rapidly expanding Web3 sector. Participants gain insights into the operational aspects of Binance, build connections through networking opportunities, and develop skills that can be easily transferred to advance their careers.
Eligibility: Suitable for current university students and recent graduates.
Role Overview: In the role of Data Scientist at Binance, you will play a crucial role in securing the ecosystem by utilizing data to identify anomalies, detect threats, and predict potential risks on the platform. The core objective is to develop intelligent systems that can detect fraudulent activities, prevent misuse, and ensure the integrity of user interactions without compromising on performance or user experience. Join us in shaping a secure and intelligent future for cryptocurrency.
Key Responsibilities
- Construct, evaluate, and optimize AI models dedicated to detecting P2P scams, focusing on aspects like document verification and prevention of payment proof tampering.
- Explore LLM-based solutions to enhance automated detection capabilities and facilitate the generation of understandable rule-based explanations and support scam pattern identification.
- Implement state-of-the-art image embedding methods to extract significant features for applications such as clustering and classification.
- Work closely with data scientists and engineers to refine the detection pipeline and provide actionable insights to notable stakeholders.
Required Skills
- Enrolled as a full-time or part-time undergraduate, Master’s, or PhD student, or a recent graduate.
- Profound comprehension of AI fundamentals and mathematical principles, encompassing deep learning, generative AI, reinforcement learning, prompt engineering, and optimization strategies.
- A keen interest in Agentic Prompt Engineering and its varied applications.
Preferred Qualifications
- Commitment to a minimum year-long tenure.
- Proficiency in programming languages, particularly Python and SQL.
- Hands-on experience in crafting computer vision models and image analysis techniques.
Why Binance
- Contribute to shaping the future with a leading blockchain ecosystem worldwide.
- Engage with exceptional talent within a worldwide organization that emphasizes user satisfaction and features a flat structure.
- Dive into unique and fast-paced projects with autonomy within an innovative setting.
- Thrive in a performance-oriented work environment with abundant avenues for career progression and ongoing learning opportunities.
- Competitive compensation and comprehensive company benefits.
- Promising work-from-home arrangements specially designed to suit various business team requirements.
Binance remains dedicated to maintaining an environment of equal employment opportunities, recognizing that diversity within the workforce is vital to our triumph.
By applying for a job, you acknowledge that you have reviewed and accepted our Candidate Privacy Notice.
We may integrate artificial intelligence (AI) solutions to assist in certain parts of the recruitment process, such as reviewing applications, analyzing resumes, or evaluating responses. These tools support our recruitment team but do not replace human judgment. Ultimately, human beings make the final hiring decisions. If further details about data processing procedures are needed, kindly contact us directly.
