Senior Data Scientist

Related skills

python pandas tensorflow pytorch scikit-learn

πŸ“‹ Description

  • Advanced ML R&D: design, develop, and maintain production models.
  • Behavioral Forecasting: build models to predict bad actors.
  • End-to-End Modeling: supervised and unsupervised models to detect anomalies.
  • Content Generation: design generative models from profile and transaction data.
  • Production Deployment: deploy models in real-time and coordinate with MLOps.
  • Experimental Design: lead AB testing to validate model performance.

🎯 Requirements

  • 5+ years in Data Science with a portfolio of ML models.
  • Deep theory and practice in supervised/unsupervised learning.
  • Python stack: Pandas, NumPy, PyTorch, TensorFlow, Scikit-learn.
  • SQL: querying large-scale databases.
  • MLOps: MLflow or ClearML in model development and inference.
  • Bachelor’s degree in a quantitative field.

🎁 Benefits

  • Remote b2b or hybrid work opportunity (Belarus-Moldova).
  • Stable job with long-term growth perspective.
  • Competitive salary with annual performance review.
  • Really good hardware.
  • Exciting and challenging work with talented people.
  • Continuous learning and career growth opportunities.
  • Compensation for professional training, seminars, and conferences.
  • Referral program – reward for helping grow the team.
  • Company-supported English classes for growth.
  • Perks for Minsk and Chisinau office employees.
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