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Our team in the Corporate Business Development Department develops ML models in the following areas:
In the role of Senior Data Scientist, you will be responsible for the end-to-end process of creating a data product, from researching relevant data, building and testing hypotheses, creating features, to testing and preparing the finished product for industrial operation
• Higher education in computer science, statistics, applied mathematics, or another relevant field
• Deep understanding of statistical approaches and methods (regression, distribution properties, hypothesis testing and their proper use) and experience in applying them
• Proficient command of core DS libraries in Python (pandas, numpy, scikit-learn, pytorch, lightgbm)
• Experience in applying machine learning algorithms (GLM/Regression, Trees, Random Forest, Boosting), understanding their advantages, disadvantages, and limitations
• Solid level of engineering culture (ability to write adequate code in reasonable time, use version control)
• Experience with SQL language, Apache Spark skills
• English language (spoken and written) as an advantage
• Experience in distributed/parallel computing using the following technologies: Hadoop, Spark, Dask and others as an advantage
• Desire to delve into the business of the relevant industry
• Ability to communicate with the business customer, listen to the interlocutor, and argue one's point of view
• Advanced IT architecture
• Comfortable office, large selection of dining options, free fitness in the office
• Discounts on bank and ecosystem products
• Continuous development: training courses from the best universities and companies (MIPT, HSE, NVIDIA and others), participation in international conferences
• Well-developed DS community, regular meetups, digests, and conferences
Full-time
Employment
Senior
Grade
Data Science & ML
Specialization
FinTech
Industry
Corporation
Company Type
By city
Corporation
Company Type