Data Science Jobs in Web3

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Job Position and Company Posted Location Salary Tags

Senior Data Analyst

RoofStacks

📍 İstanbul

$76k - $100k

Senior Python Data Engineer Finance Technology

Crypto.com

📍 Hong Kong, Hong Kong

$122k - $123k

Senior Manager Data Science and Analytics

Uniswaplabs

📍 Remote

$240k - $266k

Data Analyst

Zamp

📍 Bangalore, India

$58k - $60k

Senior Python Data Engineer Financial Technology

Crypto.com

📍 Taipei, Taiwan

$122k - $123k

Senior Data Scientist

Chaoslabs

📍 New York, NY, United States

$107k - $123k

Senior Product Data Analyst

Fireblocks

📍 Get a Fireblocks Platform Demo

$76k - $100k

Senior Data Engineer

Zap

📍 New York, NY, United States

$98k - $109k

Data Engineer Trust Risk

Whatnot

📍 Remote

$77k - $112k

Senior Data Engineer

Uniswaplabs

📍 Remote

$196k - $217k

Blockchain Data Engineer

Nethermind

📍 London, United Kingdom

$27k - $63k

Senior Data Scientist AI

Chaoslabs

📍 New York, NY, United States

$107k - $123k

Director of Data Development

Gate.io

📍 APAC

$126k - $175k

Data Engineer

Paradextrade

📍 Remote

$88k - $102k

Data Engineer Indexation

P2P. org

📍 Remote

RoofStacks
$76k - $100k estimated
İstanbul
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Senior Data Analyst

İstanbul
RoofStream – Data /
Full Time /
On-site

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As Roof Stacks, we have been carrying out innovative projects since 2015. We aim to become a global actor in Tourism Systems, Extended Reality(AR/VR), Blockchain Technologies, Game Development, and Financial Technology, which are our areas of expertise.
 
We focus on creating a difference with the technologies we develop and designing the future. In addition to our central office in Ataşehir/İstanbul, we have branches in Antalya and Elazığ in Turkey.
 
We have strengthened our position in the global market by opening a new office in Austin, USA, which hosts world technology giants from all over the world.
 
We are looking for an experienced Senior Data Analyst to join the RoofStream team.
 
Responsibilities:
 
-       Take responsibility for the entire data lifecycle and be the go-to person for the company's data catalog.
-       Perform custom and specific analytics to support business teams.
-       Analyze user and platform data to uncover insights that support growth, retention, and optimization strategies.
-       Collaborate with business stakeholders to design and develop actionable dashboards and metrics.
 
Requirements:
 
-       Minimum of 5+ years of experience in Data Analytics or BI Engineering.
-       Advanced knowledge of data visualization tools such as Looker Studio, Apache Superset, or similar.
-       Strong SQL skills, experience with multiple database technologies (BigQuery, Redshift, or similar).
-       Experience with data analysis, reporting, and dashboarding.
-       Knowledge of data analytics and data modeling concepts.
-       Experience preparing data for analysis (ETL optional but a plus).
-       Strong collaboration and communication skills.
-       Ability to problem-solve and think analytically.
 
Preferred Qualifications:
 
-       Proactive, team-oriented, and quick learner.
-       Python programming experience for data analysis and automation.
-       Knowledge of data security, governance, and compliance (optional).
-       Familiarity with AWS Cloud technologies.
-       Experience with media and OTT platforms (nice to have).
 
 

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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.