Crypto Data Scientist (Taiwan-Remote)

Token Metrics; Kentucky; Remote; USD 100,000 - 120,000; Full time

Job summary

A leading AI-driven financial technology firm is seeking a skilled machine learning engineer to enhance their ML systems. You will be responsible for designing algorithms that improve predictions and recommendations, consulting on objectives, and resolving data challenges. The ideal candidate has a strong computer science background, programming proficiency, and experience with machine learning frameworks. Competitive salary offered in Kentucky.

Qualifications

• 2+ years of experience as a machine learning engineer.
• Advanced proficiency with relevant programming languages.
• Extensive knowledge of ML frameworks and algorithms.

Responsibilities

• Consult with management on machine learning objectives.
• Design ML systems and predictive models.
• Ensure algorithms provide accurate recommendations.
• Optimize existing ML libraries and frameworks.

Skills

Python

Java

R

Data analysis

Machine learning frameworks

Statistical analysis

Education

Bachelor's degree in computer science, data science, or related field

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

Tools

ML libraries

Job description

Overview

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

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.

Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field.
• Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
• 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.

About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.