Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Newton

Toronto, Canada

$84k - $84k

RoofStacks

İstanbul

$103k - $120k

Socket

Remote

$76k - $113k

Breezecash

Remote

$90k - $112k

Nansen

Remote

$72k - $100k

Binance

Taipei, Taiwan

Myshell

Remote

$77k - $115k

Sorare

Paris, France

$81k - $84k

Copperco

Remote

$90k - $100k

Kronosresearch

Remote

$103k - $123k

Binance

Taipei, Taiwan

Coin Market Cap Ltd

Dubai, United Arab Emirates

$84k - $84k

Wallex

Tehran, Iran

$73k - $100k

Zinnia

Remote

$103k - $103k

Whatnot

Remote

$110k - $132k

Newton
$84k - $84k estimated
Toronto, Ontario
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Data Analyst - Canada Wide - Remote

Toronto, Ontario
Marketing /
Remote /
Remote

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Say hello to Newton! We're changing how Canadians trade crypto. Our goal? To make financial freedom something everyone can achieve. We give our customers the tools and knowledge they need to navigate the crypto world.

At Newton, you'll work with a remote team spread across Canada, but you'll never feel distant. Ready to be part of something meaningful? Join a team that’s all about pushing boundaries and getting things done.

Some of our values:
●  Customer first mindset - Commitment to integrity and transparency to our users!
●  A dynamic team fueled by collaboration uniting our strengths to overcome any obstacles. Together we build success. We persevere, adapt, and come back stronger, turning obstacles into opportunities.
●  We strive for continuous improvement and embrace creativity and encourage experimentation. We push the boundaries of what’s possible and continuously explore new ideas, technologies, and solutions.

Role Overview:
We are searching for a Data Analyst, a role focused on turning business data into actionable insights. Your mission is to empower teams to make smarter, faster decisions through clear analysis and automated reporting. 

Responsibilities will include:
● Identifying key metrics and building standardized reports to track business performance 
● Investigate and resolve data inconsistencies and irregularities
● Aggregating and analyzing data across departments to uncover trends and patterns
● Performing investigative analysis on large/diverse datasets
● Assisting with analyzing results of experiments/pilots, new methods, data sources, and making actionable recommendations
● Leading analytics on projects of varying sizes and complexity. This includes report automation, data visualization, gathering and documenting tool implementation requirements, split testing, and conducting ad hoc analysis and data mining. 
● Managing and delivering on business research initiatives 
● Collaborating with cross-functional teams to resolve data discrepancies and address inquiries efficiently

Who you are:
● Proficiency in SQL, Python and Excel
● Experience in using analytics to effectively drive strategic and operational decision making 
● Able to work independently 
● Strong attention to detail and accuracy
● Excellent communication and interpersonal skills

At Newton, we celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don’t hesitate to reach out!
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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.