Data Scientist Offline

Required skills and experience:

Experience in any of the following areas for at least 2 years: fintech, banking, consulting, IT, web analytics, marketing

Deep skills in machine learning\data science

Expert use of SQL

Expert use of environments for statistical computation and data analysis (R or Python)

Bachelor or Masters degree in mathematics, physics, engineering or computer science

Mid-level English: reading and understanding documentation and written communication

As a plus:

Experience in credit risk management, financial risk management, financial analysis, fraud detection, consumer analytics, lending and financial products

Experience with Big Data platforms (GCP, AWS)

Kaggle participation

Experience with deep learning

Fluent English: excellent verbal and written communication

Excellent communication skills

Responsibilities:

As a member of highly skilled Data Science team, you will participate in innovative algorithms development; optimization of businesses across all world continents, consulting; development of state-of-the art software in fast-growing fintech sector; with unique opportunity to collaborate in both research and production-level projects.

Project description:

We specialize in advanced software fields such as BI, Data Mining, Artificial Intelligence, Machine Learning (AI/ML), High Speed Computing, Cloud Computing, BIG Data, Predictive Analytics, Unstructured Data processing, Finance, Risk Management and Security.

Depending on the project, it can be consulting in data analysis and risk management, with customers geography stretching all over the world or creation of extensible decision engine services, data analysis and management solutions, real-time automatic data processing applications.

If you are excited about development of artificial intellect, behavior analysis data solutions, big data approach then we can give you an opportunity to reveal your talents.

We offer:

• Attractive salary and good opportunities for career and personal development;

• Compensation package;

• Good opportunities for career and personal development;

• Full-time remote.