Data Scientist (Remote)
VerisartSalary not specified
- Full Time
- Junior (1 to 2 years)
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.
Austin, TexasHeadquarters
2018Year Founded
$1.8MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Fintech, Crypto & Web3Industries
11-50Employees