Position: Data Scientist / Machine learning engineer
Category: Data Science
English level: upper
Years of experience: 8


- Data Scientist (~3 years)

Projects: Antifraud model for mobile banking, User engagement, Churn prevention

Stack of technologies: Python, C#, Java, AWS (S3, RDS, Comprehend, QuickSight, Athena, EMR...)

Product company in fintech with stockholder in USA, only remote. Built models for fraud prevention using Machine Learning algorithms (if we have enough fraud session history, Neural Network classify sessions), linear algebra (distance between current user vector and typical vector) from scratch to prod ready. Product design, prototyping, development of all the software used in this project

- Data Scientist (~1,5 year)

Projects: mobile app in "health and care", prediction of viral content in social media (regression, trend detection, k-means, arima)

Stack of technologies: Python (TensorFlow, Keras), R, Tableau. Sql: redshift,vertica, mysql . GA, appsflyer, Apple store api

As data analyst I develop from scratch: DWH scheme, system of reporting, A/B testing, collect data from different source, user behavior analysis. 

- Data Scientist (~1 year)

As a part of "Data discovery team" I took a part in data R&D, looking for insights which may reduce fraud, chargeback rate, increase profit.

Stack of technologies:- R (devtools, networkD3, sqldf, ggplot, e1071...) - Python (scikit-learn, Pandas, NumPy...)- SQL (Vertica)- Tableau
Looking for longterm cooperation