Data Scientist (Open to Data Engineers with history of study in data science)

About Avarta

The Avarta self-sovereign multichain wallet system provides a password-less identity solution that allows people to maintain their private keys and blockchain-based logins seamlessly and securely.

We provide crypto companies and the blockchain industry established standards of authentication and risk-based scoring data to help build and grow the blockchain ecosystem.

Your Responsibilities

• Mine and analyze data from different cryptocurrencies / blockchains


• Develop classification models for banding of blockchain accounts into tiers of credit scores


• Design and execute the feature selection and engineering process


• Assess the effectiveness and accuracy of new data sources and data gathering techniques.


• Develop company A/B testing framework and test model quality.


• Coordinate with different functional teams to implement models and monitor outcomes.


• Develop processes and tools to monitor and analyze model performance and data accuracy.

Requirements

• Strong problem solving skills with an emphasis on product development.


• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.


• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.


• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.