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Data Scientist

location-pointer-icon Lodz, Other
Archived
B2B
Data Science
remote

We are inviting a passionate AI Engineer 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. You will be part of a dynamic team working on cutting-edge features like on-chain threat detection, monitoring suspicious activity, and protecting crypto transactions in real-time. If you’re ready to dive into the world of crypto security and make a tangible impact, join our team and explore new challenges.

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 Networks

The benefits you will get:

  • Challenging goals and rewarding steps to make your career successful
  • Flexible schedule
  • Paid vacation and sick leaves
  • Corporate accountant services
  • Legal support
MobiDev
Outsource
10 - 50
Industry
AR/VR, Medtech/Healthcare, Fintech/Banking, Edtech/Education, Data Science
Founded
2009

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