Data Scientist
We are inviting a passionate Data Scientist to join our project — a real-time crypto fraud prevention system. This innovative solution leverages AI-driven technology to detect and block scams, fraud, and cyber threats.
As a Data Scientist, you will develop advanced ML models to identify and analyze malicious activities across both traditional financial systems and blockchain platforms. Collaborating with developers, blockchain security experts, and analysts, you will tackle non-trivial challenges by building models that enhance security and protect users from various types of fraud and abuse.
Key Responsibilities:
- Design, develop, and evaluate machine learning models to detect and analyze malicious patterns in different types of data (textual, numerical, relational, etc.)
- Conduct thorough error analysis and optimize models for accuracy and efficiency
- Collaborate with cross-functional teams to improve data collection methods and enhance the datasets quality and diversity
Main requirements:
- 3+ years of hands-on experience in AI development
- Strong Analytical Skills in Data Science: Proficiency in exploratory data analysis (EDA), feature engineering, and feature selection. The candidate must be capable of handling complex, non-human-readable data with hidden patterns, creating custom solutions, and avoiding errors that could significantly impact results
- Knowledge of Classical Data Science Methods: Understanding classical models, including their advantages and disadvantages, and the ability to propose justified solutions for their application
- Familiarity with NLP Techniques and Deep Learning: Familiarity with fundamental Natural Language Processing (NLP) techniques, experience with deep learning libraries, understanding the model training process, and having practical experience in training custom models
- Proficiency in English (Upper-Intermediate or higher), both written and spoken
Will be a plus:
- A degree in Computer Science, Math, or other related fields
- Basic understanding of Web3 technology and its components
- Experience with Graph Neural Network
The benefits you will get:
- Challenging goals and rewarding steps to make your career successful
- Flexible schedule
- Paid vacation and sick leave
- Corporate accountant services
- Legal support

Olha Kharchenko