Crypto Data Scientist

Summary

Join Token Metrics as a Machine Learning Engineer to optimize our machine learning systems. You will evaluate existing ML processes, perform statistical analysis, and enhance the accuracy of our AI software's predictive automation. Demonstrate solid data science knowledge and experience to enhance the performance of predictive models. Responsibilities include consulting with management, designing ML systems and AI, transforming data science prototypes, ensuring accurate user recommendations, solving complex problems with multi-layered data sets, developing ML algorithms, stress testing, and documenting processes. Stay current on ML developments. Token Metrics helps crypto investors build profitable portfolios using AI.

Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field
• At least two years' experience as a machine learning engineer
• Advanced proficiency with Python, Java, and R code
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
• In-depth knowledge of mathematics, statistics, and algorithms
• Superb analytical and problem-solving abilities
• Great communication and collaboration skills
• Excellent time management and organizational abilities

Responsibilities

• Consulting with the manager to determine and refine machine learning objectives
• Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Ensuring that algorithms generate accurate user recommendations
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
• Developing ML algorithms to analyze huge volumes of historical data to make predictions
• Stress testing, performing statistical analysis, and interpreting test results for all market conditions
• Documenting machine learning processes
• Keeping abreast of developments in machine learning

Preferred Qualifications

Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous