Crypto Data Scientist (Indonesia-Remote)

Token Metrics is in need of a proficient machine learning engineer to optimize their existing ML systems. Responsibilities include evaluating current ML processes, conducting statistical analysis to address data set issues, and enhancing the predictive automation capabilities of their AI software. The ideal candidate will possess strong expertise in data science and demonstrate the ability to improve predictive models effectively.

Responsibilities of the role include collaborating with the manager to define and refine machine learning goals, designing systems and autonomous AI to automate predictive models, implementing ML algorithms on prototypes, ensuring accurate user recommendations, solving intricate problems with complex datasets, optimizing existing ML frameworks, developing algorithms for predictive analysis of large historical data volumes, conducting stress testing and statistical analysis for various market conditions, documenting ML processes, and staying updated on machine learning advancements.

Requirements for this position include a Bachelor's degree in computer science, data science, mathematics, or related fields, with a Master's degree in areas like computational linguistics, data analytics, or data science considered a plus. Candidates should have at least two years of experience as a machine learning engineer, strong proficiency in Python, Java, and R code, extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture, in-depth understanding of mathematics, statistics, and algorithms, excellent analytical and problem-solving skills, effective communication and collaboration abilities, as well as exceptional time management and organizational capabilities.

Token Metrics is a company focusing on assisting crypto investors in constructing profitable portfolios by utilizing AI-based crypto indices, rankings, and price predictions. Serving clients globally, from individual investors to crypto fund managers across more than 50 countries.