Position: Data Scientist / ML Engineer
Category: Data Science
English level: upper
Years of experience: 2


SKILLS AND KNOWLEDGE:
•	R: data.table, dplyr, lubridate, stringr, parallel, packrat, ggplot2, plotly, R Markdown
•	Python: pandas, sklearn, matplotlib, seaborn
•	Machine Learning and analytics: EDA, feature engineering, classification, regression, clustering, time series analysis and forecasting, statistical learning, hypothesis testing
•	Databases: PostgreSQL, Exasol
•	Developer tools: RStudio, Jupyter Notebook, PyCharm, GIT, bash

EXPERIENCE:
- solving classification problems on the data with hierarchical structure
- application of NLP techniques for knowledge extraction from textual data 
- R scripts development for data pipelines support
- support and improvement of demand forecasting models
- development and integration of automatic QC reports for modelling results
- optimization of models’ runtime (identification of memory leaks, code performance profiling)
- communication with client on a regular basis with regards to results delivery and alignment on future steps
- conduct knowledge sharing sessions for teammates