Position: Data Scientist, Researcher, Ph.D Physics&Mathematics
Category: Data Science
English level: upper
Years of experience: 5


***Work Experience*** 
- 3 years of working experience as Data Scientist in multi-national IT companies
- Developed and implemented  Data Preprocessing and Machine Learning components for AutoML tool
- Built and evaluated Machine Learning algorithms for large scale datasets in Retail, Supply Chain and Sensors signal processing field  as classification, regression, time series forecasting and clustering
- Developed predictive features based on Retail domain knowledge that helped to improve models performance
- Conducted Exploratory Data Analysis and Advanced Analytics reports
- Researched and improved Sensor data tracking related approaches (multivariate irregularly samples time series), Sensors signals data processing and patterns recognition
- Developed high-level documentation for explored and developed algorithms

- 2 years experience in IT as Project Manager and Web Developer on freelance (Agile, Jira, HTML&CSS, Adobe Photoshop)

- 6  years experience in FMCG, Supply Chain (Logistics Management, Demand Forecasting, Supply Planning, Sales&Operations Analysis)


***Education***
 - Ph.D in Physics&Mathematics, Taras Shevchenko  National University of Kyiv


***Skills***
Data Preprocessing, Advanced Analytics, Machine Learning algorithms including supervised learning ( classification/regression, Random Forest, XGBoost, CatBoost, LGBM, AdaBoost, ExtraTrees, Logistics Regression, KNN) and unsupervised learning (clustering/dimensionality reduction, K-means, DBSCAN, HDBSCAN, PCA), Ensembles Learning (stacking, super learners) , Time Series (ARIMA, SARIMA, Facebook Prophet, converting Time Series to supervised learning), Signals processing for sensors data, Data visualization and presentation
Looking for position related to Data Science/Machine Learning within ambitious company with interesting and real-live projects. Preferable multi-national or local companies with high ethical standards and professional team. 

Consider remote job.