Crypto Data Scientist, Machine Learning Engineer

Summary

Join Token Metrics as a highly capable machine learning engineer to optimize our machine learning systems. You will evaluate existing ML processes, perform statistical analysis to resolve data set problems, and enhance the accuracy of our AI software's predictive automation capabilities. As a machine learning engineer, you will demonstrate solid data science knowledge and experience, translating your expertise into enhanced performance of predictive models. Responsibilities include consulting with management, designing ML systems, transforming data science prototypes, ensuring algorithm accuracy, solving complex problems, developing ML algorithms, stress testing, documenting processes, and staying current with ML developments. The ideal candidate will possess a bachelor's degree in a related field, at least two years of experience, and advanced proficiency in Python, Java, and R.

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

• Consult with the manager to determine and refine machine learning objectives
• Design machine learning systems and self-running artificial intelligence (AI) to automate predictive models
• Transform data science prototypes and apply appropriate ML algorithms and tools
• Ensure that algorithms generate accurate user recommendations
• Solve complex problems with multi-layered data sets, as well as optimize existing machine learning libraries and frameworks
• Develop ML algorithms to analyze huge volumes of historical data to make predictions
• Stress test, perform statistical analysis, and interpret test results for all market conditions
• Document machine learning processes
• Keep abreast of developments in machine learning

Preferred Qualifications

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