Crypto Data Scientist (Bulgaria-Remote)

Token Metrics; Kentucky; Remote; USD 80,000 - 120,000; Full time

Job summary

A leading AI-driven analytics company in Kentucky is seeking a skilled machine learning engineer to optimize its ML systems. You will evaluate existing processes, enhance AI software accuracy, and design predictive models. Ideal candidates will have a bachelor's in a related field and at least two years of experience. Strong skills in Python and statistical analysis are essential. This role offers an opportunity to work on innovative projects in an exciting field.

Qualifications

• Two years' experience as a machine learning engineer.
• Advanced proficiency with Python, Java, and R code.
• In-depth knowledge of mathematics and statistics.

Responsibilities

• Consult with the manager to refine machine learning objectives.
• Design machine learning systems and AI for predictive models.
• Document machine learning processes.

Skills

Data analysis

Machine learning systems design

Python proficiency

Statistical analysis

Problem-solving

Communication skills

Education

Bachelor's degree in computer science, data science, or mathematics

Master's degree in data science or analytics

Tools

Python

Java

R

ML frameworks

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.