Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Ledger

Paris, France

$18k - $27k

Crossmint.io | Making NFTs Accessible to Everyone

Madrid, Spain

$63k - $90k

Alchemy

remote

OKX

Singapore, Singapore

$32k - $64k

Glassnode

Europe

$54k - $100k

Binance

Asia

Binance

South East Asia

Magic

San Francisco, CA, United States

$32k - $64k

Horizon Blockchain Games

Toronto, Canada

$45k - $92k

Coinhako

Singapore, Singapore

$54k - $90k

OpenSea

United States

$130k - $255k

RECUR

Boston, MA, United States

$110k - $140k

Okcoin

San Jose, CA, United States

$85k - $92k

Elementus

United States

$63k - $72k

PLBY Group, Inc.

Los Angeles, CA, United States

$32k - $64k

Product Data Analyst Internship

Ledger
$18k - $27k estimated

This job is closed

Product Data Analyst Internship @Ledger

Paris, France /
Central - Finance – Data Ops /
Internship / Stage
/ Hybrid

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We're making the world of digital assets accessible and secure for everyone. Join the mission.  
Founded in 2014, Ledger is the global platform for digital assets and Web3. Over 25% of the world’s crypto assets are secured through our Ledger Nanos. Headquartered in Paris and Vierzon, with offices in the UK, US, Switzerland and Singapore, Ledger has a team of almost 1000 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 5 millions units already sold in 180 countries.  At Ledger, we embody the values that make us unique: Pragmatism, Audacity, Commitment, Trust and Transparency. Have a look at our Origins video here. 


Your main responsibilities will be :

    • Deliver insights to drive product and business decisions
    • Build and support dashboards to make data accessible to numerous stakeholders
    • Take ownership of tracking strategy for Ledger Live and ensure data sanity
    • Specify and drive research initiatives such as AB testing, funnel evaluation and other experiments
    • Collaborate with Product Managers to specify features and ensure success metrics are controlled and reviewed
    • Make the best use of the rest of the data team resources from data engineers to data scientist to crack complex problems
    • Participate in key product team meetings to deliver insights and reality checks while capturing data-related opportunities
    • Contribute to an “Always Be Testing” and data-oriented culture within the product team.

What we are looking for:

    • You have an Engineering profile and you are in your final year of studies. You had done your 1st internship in data science/ modeling.
    • Strong knowledge of SQL and data modeling - Python and DBT are a plus.
    • Ability to understand and report on complex technical issues.
    • Experience with AB Testing is a plus Experience with data visualization tools (Tableau) is a plus.
    • Experience with product analytics tools (Mixpanel) is a plus.
    • Outstanding written and verbal skills in English (French is a plus).
    • Knowledge about crypto is a plus.

What’s in it for You ?

    • Partial remote work possible
    • Lunch vouchers with Swile
    • 50% reimbursement of your monthly transport subscription
    • 1 day off for every full month worked
    • 1000€ gross / month
We are an equal opportunity employer for all without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age.
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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.