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Background

Data Scientist

Hybrid
IT & Data Development
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Responsibilities

  • Formulate and test hypotheses, conduct applied research (R&D), and develop data-driven solutions to product and business challenges
  • Collect, validate, and clean data, and perform feature engineering to prepare datasets for machine learning
  • Develop, train, validate, and fine-tune machine learning models
  • Select appropriate evaluation metrics and validation strategies, assess model performance, and quantify the business impact of ML solutions
  • Prepare models for production deployment and monitor their performance and reliability after release

Requirements

  • Strong Python skills for data analysis, including proficiency with NumPy, Pandas, and Scikit-learn, and the ability to write clean, reproducible code
  • Advanced SQL skills, including complex JOINs, window functions, aggregations, and query optimization
  • In-depth understanding of classical machine learning algorithms, model evaluation metrics, and validation techniques
  • Strong mathematical foundation in linear algebra, probability theory, and mathematical statistics
  • Nice to have experience preparing ML models for production and a basic understanding of MLOps practices, including Docker, Git, CI/CD, and ML pipelines; familiarity with deep learning frameworks such as PyTorch or TensorFlow; experience with distributed data processing using Spark / PySpark; experience programming in C/C++

Benefits

  • The opportunity to work on large-scale products and contribute to their development
  • A flexible work environment built on autonomy, ownership, and trust, without micromanagement
  • The option to work fully remotely or from a modern office
  • Medical insurance coverage in countries where the company operates
  • An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning, and sports activities
  • Partial reimbursement for professional training, courses, and participation in industry conferences
  • Access to a corporate digital library
  • Company-funded weekly online sessions with a psychologist
  • Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval