AI / Data Scientist

We’re looking for a hands-on AI / Data Scientist who enjoys solving complex problems with data and turning insights into impactful solutions. In this role, you’ll work on designing, building, and deploying models that extract intelligence from large-scale, heterogeneous datasets — including network, behavioral, and textual data. You’ll collaborate closely with AI engineers, developers, and security experts to shape features, pipelines, and analytical tools that make the internet a safer place.

Key Responsibilities:

• Manipulate, clean, and transform complex, high-volume datasets for modeling and analysis
  
• Design and implement feature engineering strategies that enhance model accuracy, interpretability, and robustness
  
• Build and evaluate machine learning models for anomaly detection, fraud identification, forecasting, and optimization
  
• Explore and prototype solutions using Python (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow) and SQL
  
• Translate product or business requirements into clear analytical tasks and model development plans
  
• Contribute to MLOps workflows for model deployment, validation, and continuous monitoring
  
• Conduct error analysis and model tuning to ensure reliability and efficiency
  

Main requirements:

• 1+ years of hands-on experience in DS/ ML
• Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
  
• Proven ability to handle messy, large-scale, and multi-source data
  
• English: Upper-Intermediate+, both written and spoken
  
• Experience with classical machine learning algorithms and a solid understanding of their strengths and limitations
  
• Familiarity with NLP techniques and modern deep learning approaches
  
• Strong analytical mindset and ability to develop well-justified, data-driven solutions
  
• Good command of SQL for data querying and preparation

The benefits you will get:

• Ability to influence processes and best practices
• Opportunity to expand your technical background
• Long-term cooperation with teammates and clients
• Compensation of internal and external English language training
• Flexible schedule
• Paid vacation and sick leave
• Our accountants will take care of the taxes
• Legal support