Position: Lead/Senior Data scientist
Category: Data Science
English level: fluent
Years of experience: 7

•McKinsey Alumni
•Lead of successful segmentation project for major FMCG company 
•Customer’s churn prediction enforced by NLP analysis 
• Building near real-time ETL pipeline for Tier 1 American Hedge fund 
• Master degree in Engineering with honours
Full stack Data Scientist with competence in every step of the agile process: Data mining/scraping/extraction, hypothesize, building models, checking quality of models/ correctness of hypothesis, choose the best ones, launching to production, visualization of results.

 With readiness to apply data science methods to improve and optimize company performance needs, capture meaningful insights from data and turn them into competitive advantages o Strong proficiency of Python and ML (Scikit-learn, Pandas, SciPy, TensorFlow, Keras) 
o Types of solved problems: classification, regression, clustering time series prediction and NLP analysis
 o Profound knowledge of PL SQL (up to writing procedures, triggers, cursors), СlickHouse, MySQL and NoSQL (MongoDB, DynamoDB) 
o Solid experience in OOP, Flask Webhooks and numerous API connection 
o Heroku, Docker and Rancher expertise 
o State of Art data visualization by variety of tools such as Tableau, Data Studio, Matplotlib, Seaborn and PowerPoint o Cloud storing and computation AWS, GCP 
o Experience of using Jira, Confluence and Agile/Scrum methodology 
o Initiative, keen on studying and self-perfection, responsible, positively-disposed, outgoing creative individual possessing excellent communication, organizational & mentoring junior team members skills
Friendly, competent and proactive team, speak up culture, absence of micromanagment, English classess Preferred business lines of the project: Consulting, Healthcare, IoT, Engineering, Finance