Middle Data Scientist

Responsibilities:

• Manage data lifecycle: mining, cleaning, EDA, process, visualization
• Develop and deploy ML models for various business tasks (equipment performance, anomalies detection in timeseries, optimization, decision support systems, etc.)
• Enhance existing physics-based solutions with ML-based approaches
• Present and discuss results with project stakeholders (in English)

Requirements:

• Understanding of machine learning principles and methodology
• Knowledge of basic ML models strengths, weaknesses, and applications
• Knowledge of mathematical analysis and statistics
• Experience with Python and data science stack such as numpy/ pandas/ scipy/ scikit-learn
• Experience with querying data from SQL, Influx
• Ability to read and understand technical documentation
• English intermediate level
• Bachelor’s/Master’s degree in Mathematics, Physics, Computer Science or Engineering or related field.
• Advantage
  • Experience in design, train, and deployment of neural networks (CNN, RNN, MLP, etc.)
  • Experience in PyTorch and/or TensorFlow
  • Experience with Business Intelligence tools & systems (e.g., PowerBI, Tableau)
  • Experience in C++, GUI development, JavaScript

Conditions:

• Corporate medical insurance with dental care and travel included
• Relocation support to Novosibirsk
• Interesting projects
• Career and professional development
• English learning program
• Sports compensation
• Corporate Pension Plan
• Purchase of company shares at a discount
• Discounts and special offers from the company's partners
• Flexible schedule and hybrid work format