Middle Data Scientist

Responsibilities

• Perform EDA and data preprocessing, generate features, build ML training pipelines
• Organize processes for data discovery, annotation data processing, define and improve metrics, automate model training
• Prepare models and pipelines for production
• Research new approaches and SOTA tools, read papers and understand how to apply them to solve business problems
• Share your knowledge, findings, and experience at internal and external events

Qualifications

• Strong technical/math background (calculus, statistics, probability, etc.)
• Knowledge of the main ML algorithms and metrics
• Production experience in at least one area of ML (CV, NLP, RL, etc.), with CV being a strong advantage
• Awareness of modern ML technologies such as LLMs
• Python and development experience, including ML model lifecycle management and ML-based services deployment
• Knowledge or experience in other programming languages and a Software Engineering background are a plus
• Ability to balance quality and speed depending on the situation and justify decisions
• Our spoken languages are English and Russian

Conditions & Benefits

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Relocation package offered for candidates from other regions (only for Kazakhstan and Cyprus)
• Access to professional counseling services including psychological, financial, and legal support
• Discount club membership
• Diverse internal training programs
• Partially or fully paid additional training courses
• All necessary work equipment