Data Scientist / Data Engineer

Special Systems and Technologies Group (GC "SST") is the largest manufacturer of heating cables, electric heating systems, special electrical equipment, and explosion-proof equipment in Russia and one of the leading manufacturers in the world.

The company is among the top three global manufacturers of electric heating systems and is involved in the development, design, production, supply, installation, and distribution of electric heating systems.

DeltaProject LLC (part of GC "SST") is an accredited IT company involved in supporting and developing IT infrastructure, developing software and digital products, and analyzing and digitizing business processes.

We are inviting a Data Scientist / Data Engineer to join our company.

Our Requirements:

• 2+ years of experience as a Data Scientist / ML Engineer;
• Proficient Python: pandas, numpy, scikit-learn;
• Experience with gradient boosting (XGBoost / LightGBM / CatBoost);
• Knowledge of statistics, probability theory, and ML fundamentals;
• SQL at the level of confident analytical queries;
• Experience with at least one project brought to production use.

Will be a plus:

• Experience with DL frameworks (PyTorch / TensorFlow);
• NLP or CV tasks in production;
• Experience with MLflow, Airflow, Docker, Kubernetes.

Key Stack:

• Python, pandas, scikit-learn, XGBoost/LightGBM/CatBoost, SQL, MLflow, Airflow, Git.

Your Tasks:

• Defining ML tasks in collaboration with business stakeholders, formulating success metrics;
• Data research and preparation, feature engineering;
• Training, validation, and comparison of models (classical ML, gradient boosting, and if necessary — DL/NLP/CV);
• Deploying models to production in collaboration with ML engineers / data engineers;
• Monitoring model quality, retraining, combating data drift;
• Documenting experiments and results.

We Offer:

• Work in an accredited IT company;
• Official salary;
• Employment according to the Labor Code of the Russian Federation;
• 5/2 work schedule, work format is negotiable;
• Voluntary medical insurance after the probation period;
• Opportunities for career and professional growth.