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Job title

Data Scientist (banking)

Created

Mar 14, 2018, 07:09

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Description

Location:DniproThe Bank's Risk Management Direction is looking for a talented Data Scientist in the Dnieper.The focus will be on applying data mining methods, improving the data collection procedures needed to build analytical systems, conducting statistical analysis and building high quality forecasting systems, and creating banking recommendations in the programming languages ​​Python and R.Duties:Design and support of models: application scoring, behavioral scoring, collection scoring, etc.Construction and optimization of classifiers / regressors using machine learning methods.Processing, cleaning and checking the integrity of the data used for analysis.Using modern approaches for analyzing and visualizing data that provide business tasks.Requirements:More than 1 year of use of one of the programming languages, such as Python, R or SaS, etc.Experience in modeling / analyzing data and constructing scoring modelsThe experience of using the scikit-learn library (Python).Previous experience in data processing, which gave a positive, measurable result to a company / project.Experience with SQL.Understanding rules validation model and the main criteria for evaluating the result of models.Knowledge of the basics of probability and statistics.It will be an advantage:Knowledge and experience of using XGBoost (Python) / Uplift (R) or Neural Networks.Graduate in the field of exact sciences (mathematics, statistics / probability, economic cybernetics, physics, electrical engineering, etc.).High proficiency in English.Experience of interaction with business customers.Personal qualities:Independence, willingness to assume responsibility.Ability to work in a team and find a common language with both programmers and business customers.Timely and qualitative delivery of results.Use of innovative technologies in the field of analysis and data collection in their work.Documenting the results of work.What we provide:Career Opportunities.Realization of your innovative ideas in the field of machine learning.Professional skills development and support in gaining new knowledge (by attending Data Science conferences, sharing experiences, etc.)Friendly team.Modern and comfortable office.

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