Data Scientist – LLM (Data Processing)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Implement and fine-tune prompts for Large Language Models (LLMs).
• Build and optimize advanced machine learning models to solve complex business problems. 
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
• At least 1 year of professional experience in data analysis, data processing, or a related role.
• Proficiency in programming languages such as Python or Java.
• Experience with SQL for data querying and manipulation.
• Knowledge of Large Language Models (LLMs) and experience in tuning prompts for content summarization.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Attention to detail and a commitment to delivering high-quality work.

Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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