Position: Middle Data Scientist
Company: eTeam
Category: Data Science
Experience required: 2y
English level: upper

eTeam is looking for a Middle Data Scientist for our team on a full-time basis. 

Responsibilities:
- Data Science related problems for different business domains;
- Implementing and supporting predictive models;
- Applying Data Mining techniques;
- Full-stack Data Analysis, Deep Learning, and Machine Learning models pipeline includes deep analysis of customer data, modeling, and deployment in production. It also includes decision-making regarding relevant computational tools for study, experiment, or trial research objectives;
- Presenting results directly to stakeholders and gathering business requirements;
- Compiling and interpreting analysis results as well as contributing to the proposals and architecture vision delivered to the customer.

Requirements:
- At least 2 year of commercial experience in DS;
- Strong knowledge of linear algebra, calculus, statistics and probability theory;
- Knowledge and experience with algorithms and data structures;
- Strong knowledge of Python (numpy, pandas, scikit-learn, etc.);
- Experience in Natural Language Processing;
- Hands-on experience in statistical analysis, regression, classification, topic modelling, time series, predictive modeling;
- Experience with SQL;
- Knowledge of OOP;
- At least Upper-Intermediate (written and spoken) level of English.

Will be a plus:
- Experience with at least one of Deep Learning frameworks (Tensorflow, Keras, PyTorch, etc);
- Experience with Cloud Computing Platforms (AWS, GCloud, Azure);
- Basic understanding of Big Data concepts.

We offer:
- Grow professionally with subsidized certifications, courses, and conferences;
- Improve your English with conversation clubs and direct client communication;
- Enjoy our extra perks: remote work, unlimited vacation, flexible schedule, bonuses for important life events, fresh food & snacks in the office;
- Let loose with fun parties, BBQs, online activities and off-sites.