Token Metrics

Crypto Data Scientist (Taiwan-Remote)

Athens, Greece

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Fintech, Crypto & Web3Industries

Requirements

Candidates must hold a Bachelor's degree in computer science, data science, mathematics, or a related field, and possess at least two years of experience as a machine learning engineer. Advanced proficiency in Python, Java, and R code is required, along with extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. A Master’s degree in computational linguistics, data science, data analytics, or a similar field will be advantageous, and in-depth knowledge of mathematics, statistics, and algorithms is necessary.

Responsibilities

The Machine Learning Engineer will 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, and ensure that algorithms generate accurate user recommendations. They will also solve complex problems with multi-layered data sets, optimize existing machine learning libraries and frameworks, develop ML algorithms to analyze huge volumes of historical data to make predictions, stress test and perform statistical analysis, interpret test results for all market conditions, document machine learning processes, and keep abreast of developments in machine learning.

Skills

Python
Java
R
Machine Learning
Data Modeling
Statistical Analysis
Algorithms
Data Structures
Software Architecture

Token Metrics

Cryptocurrency investment platform using machine learning

About Token Metrics

Token Metrics is a cryptocurrency investment platform that uses machine learning to help users identify profitable investment opportunities and avoid scams. It offers services like cryptocurrency reviews, price predictions, and in-depth analysis, catering to both novice and experienced investors. The platform operates on a subscription model, providing access to premium features such as a private investor group and webinars. The goal of Token Metrics is to make crypto investing more accessible and less risky for its clients.

Key Metrics

Austin, TexasHeadquarters
2018Year Founded
$1.8MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Fintech, Crypto & Web3Industries
11-50Employees

Risks

Ian Balina's SEC issues could harm Token Metrics' reputation.
Privacy coin regulations may limit Token Metrics' analysis capabilities.
High-risk project involvement could expose Token Metrics to reputational damage.

Differentiation

Token Metrics uses AI and machine learning for crypto investment insights.
The platform offers exclusive access to private investor groups and webinars.
Token Metrics provides back-tested 30-day price predictions and IEO ratings.

Upsides

Growing DeFi interest boosts demand for Token Metrics' analytics services.
AI-driven trading bots present integration opportunities for Token Metrics.
NFT popularity allows expansion of Token Metrics' NFT analytics services.

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