Data Scientist vacancy at Plarium
Building and optimizing machine learning models (customer churn prediction, recommendation systems, fraud prevention, user base segmentation, customer profiling, etc.).
Data preprocessing and cleaning, feature engineering, including on the basis of transactional data.
Data analysis, business analysis.
Creation of visualizations and presentation of the results of modeling and analysis.
Interaction with other departments, setting tasks for preparing data and developing internal services and tools.
Passion for Data Science, for analyzing and solving complex problems.
Experience in the areas listed in the "Tasks" section.
Higher education (at least a master's degree) or an academic degree in a specialty with a large component of mathematical modeling (applied mathematics, information technology, physics, economics, technical and natural science specialties).
Knowledge of the basics of mathematical statistics, mathematical analysis, linear algebra, discrete mathematics, machine learning theory, algorithms and data structures.
Knowledge of SQL, experience with relational databases and NoSQL databases.
Experience in Python development.
Experience with Unix command line (bash, sh).
Communication skills, the ability to explain complex mathematical and technical concepts to a non-core audience.
Knowledge of English (reading professional literature and understanding professional oral speech).
High level of learnability, desire and ability to quickly delve into business problems, model a subject area, acquire new technical skills.
Proactive attitude, entrepreneurial thinking, ability to take responsibility for the result.
Skills considered as a good plus
Experience in analyzing and modeling user behavior in such industries as online games, Internet, finance, retail, telecom.
Experience working with large amounts of data, experience using tools from the Hadoop ecosystem (Spark, Hive, Yarn).
Development experience on C #, Java, Scala, C ++.
Experience as Data Engineer, Data Base Administrator.
Experience in Business Intelligence, experience in building data warehouses, reporting, OLAP cubes.
System analysis skills, description of business processes using IDEF, UML, etc.
Broad mathematical horizons (game theory, graph theory, combinatorics, problems of mathematical physics, etc.), experience in modeling various physical and economic processes.
Experience in data journalism.