Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

OKX

Singapore, Singapore

$32k - $64k

Consensys

Remote

$105k - $111k

Virtually Human Studio

Australia

$81k - $100k

Pocket Worlds

Barcelona, Spain

Okcoin

San Jose, CA, United States

Okcoin

San Jose, CA, United States

$91k - $96k

Okcoin

San Jose, CA, United States

Messari

remote

$91k - $156k

Pocket Worlds

Warsaw, Poland

$91k - $96k

Binance

Taipei, Taiwan

Pocket Worlds

London, United Kingdom

$91k - $96k

Pocket Worlds

Remote

$105k - $111k

Pocket Worlds

Lisbon, Portugal

$91k - $96k

Ava Labs

United States

$43k - $80k

Blockchain.com

Miami, FL, United States

Data Analyst Fraud

OKX
$32k - $64k estimated
03 Singapore, North, Singapore
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About OKX:

At OKX, we believe our future is reshaped with technology. Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX vision is a world of financial access backed by blockchain and the power of decentralized finance.

We invest in our people as much as we invest in the technology. We are united by our engaging culture, here we win as a team, embrace changes, and do the right thing. We are committed to creating a friendly, rewarding and diverse environment to OKers. It doesn’t matter where you come from, here everyone feels valued, respected and has the same opportunities to develop and thrive — we want to bring out the best in you.

Job Responsibilities:

  1. Data exception monitoring (Anti-frauders): through long-term data monitoring, conduct in-depth investigations on the frauders of various products/promotions on the platform, study frauders behavior paths and user profile, and propose implementable anti-fraud solutions. Coordinate relevant teams to implement solutions in a timely manner, and ultimately optimize the overall product-side risk control logic;

  1. Growth product/promotions effect analysis: conduct pre-launch risk control verification for growth-related products/promotions, and post-launch effect analysis to help product teams iterate plans, continuously track effects/roi, and ultimately achieve efficient users growth of the overall platform;
  2. Increase conversion rate: Improve the final conversion rate of users through the analysis of the user's overall conversion road

Job Requirements:

  1. 1-5 years of work experience is required, and English can be used as a working language;
  2. Proficient in using sql/python/spss and other data analysis tools, with certain data modeling capabilities;
  3. High data sensitivity, and can analyze data and provide solutions from the perspective of business optimization;
  4. Interested in the crypto industry /blockchain industry, and it will be better have a deep level of participation;
  5. Good communication skills, able to maintain good communication and collaboration with multiple teams;
  6. Strong self-driven, with strong learning ability and curiosity.

What does a data scientist in web3 do?

A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem

This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems

In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems

Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.