Scientist Jobs in Web3

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Job Position Company Posted Location Salary Tags

Binance

Toronto, Canada

Binance

Vancouver, Canada

Blocknative

United States

$84k - $100k

Aradena: Battlegrounds

remote

$90k - $180k

Crypto.com

Hong Kong, Hong Kong

$54k - $95k

Gauntlet Networks

Remote

$150k - $180k

Gauntlet

Los Angeles, CA, United States

$150k - $180k

Animoca Brands Limited

Remote

$22k - $60k

Altered State Machine

Auckland, New Zealand

$54k - $90k

Altered State Machine

Sydney, Australia

$54k - $90k

Matter Labs

EU

$84k - $100k

Ava Labs

New York, NY, United States

$122k - $167k

Phantom

Remote

$84k - $90k

Flashbots

New York, NY, United States

$54k - $102k

Robinhood

Menlo Park, CA, United States

$187k - $220k

Product Data Scientist

Binance

This job is closed



Responsibilities

    • Identify potential business opportunities within your area and scope/design approaches to capture those opportunities
    • Facilitate data driven decision making across the company
    • Automate data and reporting related tasks that facilitate smooth business operations
    • Proactively work with stakeholders to define analytical approach and construct use cases
    • Derive recommendations from value driven analysis resulting in significant impact on the business performance
    • Retrieve data from various internal and external sources to conduct regular deep dive analysis and influence business decisions
    • Build machine learning prototypes to solve challenging business problems where needed


Requirements

    • 4+ years of experience in Data Science/Analytics
    • Excellent communication skills in verbal and written English
    • Previous experience in a fast growing tech company
    • Fluency with SQL and high level of expertise with R/Python
    • Fluent in AB tests
    • Experience managing multiple competing priorities and projects in a fast-paced environment
    • Solid understanding of Statistics and Machine Learning
    • Experience in Machine Learning is a plus
    • Strong communication & data presentation skills
    • Strong work ethic and initiative
    • Proactivity and autonomy