Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Transak

Bangalore, India

$73k - $100k

Transak

Bangalore, India

$90k - $100k

Magic Eden

Remote

$160k - $210k

SADA India

Thiruvananthapuram, India

$103k - $117k

Chainlink Labs

Remote

Chainlink Labs

Remote

LayerZero Labs

Vancouver, Canada

$76k - $80k

Coins.ph

Shanghai, China

$98k - $108k

The Tie

New York, NY, United States

$100k - $130k

Keyfactor

Cleveland, OH

$81k - $84k

Binance

Taipei, Taiwan

Gemini

Austin, TX, United States

$136k - $170k

Coinbase

New York, NY, United States

$140k - $165k

BitMEX

Singapore, Singapore

$76k - $90k

Binance

Europe

Transak
$73k - $100k estimated
Bangalore IN

About Transak:

Transak, a leading web3 payments and onboarding infrastructure provider, is on the lookout for Data Analyst to harness the power of data and steer our sales and account management strategies. This is a unique opportunity to be part of a dynamic, rapidly growing, Series A funded company in the exciting blockchain and cryptocurrency industry. Transak's trusted by major brands such as MetaMask, Coinbase Wallet, Splinterlands, and AAVE and is backed by prominent VCs like Animoca Brands, UOB Venture Management, Woodstock Fund, CreditEase Fintech Investment Fund, SBI Ven Capital, and Third Kind Venture Capital.

Key Responsibilities:

  1. Sales & Account Management Collaboration: Work closely with the sales and account management teams, assisting in creating targeted lists, providing insights into past orders and user behaviors.
  2. Data Deep Dive: Delve deep into our cost per order, pricing structures, and revenue streams, drawing actionable insights for strategic implementation.
  3. NoSQL Queries: Utilize expertise in writing NoSQL queries to retrieve, analyze, and interpret complex datasets from our diverse data sources.
  4. Web3 Domain Expertise: Leverage knowledge and experience in the web3 domain to comprehend and analyze the intricacies of decentralized datasets.
  5. Reporting: Design and generate comprehensive weekly and monthly reports, focusing on our past revenue, partner metrics, and other key performance indicators.
  6. Partner Research: Conduct research on big partners, target partners, and potential collaborations. Continuously search and discover new outbound partnership opportunities.
  7. Partner Prioritization: Assist in prioritizing partners for account management, ensuring optimized focus and resource allocation.
  8. Pre-Sales Analysis: Before sales calls, conduct advanced analyses of potential partners, gauging trends like user movement patterns and other critical metrics.
  9. Data-Driven Insights: Evaluate and analyze datasets to pinpoint trends, patterns, and anomalies, translating these into actionable strategies for sales growth and account management efficiency.

Desired Profile:

  • Experience: Proven track record in data analysis, preferably in a B2B2C or B2B2B environment.
  • Technical Proficiency: Strong experience in writing NoSQL queries and using data analytics tools.
  • Web3 Knowledge: Prior experience or sound knowledge in the web3 domain, enabling nuanced analysis of decentralized data.
  • Collaboration: Ability to seamlessly collaborate with cross-functional teams, especially sales and account management, ensuring that data insights align with business objectives.
  • Analytical Mindset: Exceptional analytical skills, with an ability to deep dive into numbers and draw meaningful inferences.
  • Communication: Excellent written and verbal communication skills, enabling clear articulation of complex data insights to non-technical stakeholders.

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.