Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 5


- full process of predictive models development from hypothesis to deployment with sklearn (data cleaning, feature extraction, feature engineering, model validation, deployment)
- pipeline engineering for data cleaning/f-extraction/f-engineering 
- analysis of user's behavior and product's features usage and presenting results
- modeling user's behavior using statistical methods (Markov Chains)
- TS analysis and prediction
- worked with marketing team on automating data processing and product's database improvements 
- monitoring and alerting for changes in internal performance
- making a full-scale validation of processed data
- developing email strategy from scratch with email-marketing team
- Acquiring data from different APIs (Google Analytics/CRM systems, Google Ads)
- ETL / Data preprocessing
- Data visualization
- Requirement gathering for IT dep on demand for different project
- Data analysis on demand from different stakeholders, getting insights and making recommendations.

tools:
- Python (numpy, pandas, scipy,seaborn,matplotlib, requests, cx_oracle, sklearn,fbprophet,gspread,google2pandas, etc)
- Excel, Google Sheets
- Google Analytics/ Google Tag Manager/ Hotjar/ Google Bigquery
- Tableau/Metabase/Google Data studio
- SQL (PostgreSQL, MySQL, Oracle)
- NoSQL (DynamoDB)
- Git/Docker
I'm searching for a new challenges, interesting projects and smart teams, where could learn something or learn someone. 

- please don't offer job titles with Business Intelligence responsibilities!