Data Science Web3 Jobs in North America

492 jobs found

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Job Position Company Posted Location Salary Tags

Token Metrics

Panama City, Panama

$76k - $108k

Circle

Boston, MA, United States

$120k - $162k

Shakepay

Montreal, Canada

$122k - $150k

Figure Markets

New York, NY, United States

$88k - $110k

Ava Labs

New York, NY, United States

$123k - $154k

LayerZero Labs

Vancouver, Canada

$76k - $80k

The Tie

New York, NY, United States

$100k - $130k

Gemini

Austin, TX, United States

$136k - $170k

Coinbase

New York, NY, United States

$140k - $165k

The Tie

New York, NY, United States

$110k - $140k

Paxos

New York, NY, United States

$154k - $181k

Robinhood

Bellevue, WA, United States

$161k - $190k

Public

New York, NY, United States

$140k - $175k

Thirdwave

New York, NY, United States

$149k - $179k

Bitcoin Depot

Atlanta, GA, United States

$76k - $80k

Token Metrics
$76k - $108k estimated
Panama City
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Crypto Data Scientist (Panama-Remote)

Panama City
Data Science Team /
Full-Time /
Remote

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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.
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