Scientist Jobs in Web3

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Job Position Company Posted Location Salary Tags

Binance

Asia

Elementus

United States

$63k - $72k

Chainalysis

London, United Kingdom

$91k - $96k

Fractal Wealth

New York, NY, United States

$22k - $60k

Amazon

United States

$72k - $80k

Amazon

Berlin, Germany

Afterpay

United States

$125k - $153k

Storm2

United States

$72k - $80k

Protocol Labs

remote

$90k - $94k

Afterpay

Los Angeles, CA, United States

$72k - $80k

Immuna

Remote

$60k - $200k

Fractal Wealth

New York, NY, United States

$25k - $60k

Status

Zug, Switzerland

$54k - $80k

Cisco

United States

$16k - $25k

Chaos Labs

New York, NY, United States

Data Scientist Intern Risk Management

Binance

This job is closed

Data Scientist Intern (Risk Management)

Asia /
Internships – Internships /
Intern
/ Hybrid

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Data driven based business is the core in helping  to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.

As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.

You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.

Responsibilities:

    • Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognitionDigital data asset
    • Obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
    • Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis

Requirements:

    • Project experience with developing machine learning models at scale,
    • Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc.
    • Good experience with processing large size data is preferred
    • Good experience with Python, Java and/or Scala is preferred
    • Master’s or above is preferred 
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