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Chainalysis
Associate Data Scientist
9 months ago | 1098 views | Be the first one to apply

Associate Data Scientist

Full-time
United States
Per year
$90,000 To $99,000

About the company

The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.

Job Summary

Priorities in your first year include:

📍Utilized huge datasets to identify criminal fingerprints across multiple blockchains 📍Used Chainalysis tools and data to reveal and characterize relationships between entities on the blockchain 📍Performed complex research into unique data sets to identify and process collections for investigative leads 📍Built data science subject matter expertise amongst your teammates and clients 📍Are a certified cryptocurrency professional with all relevant Chainalysis certifications

Responsibilities:

📍Provided valuable insights directly to customers through the use of data analytics improving their user experience and deepening existing relationships 📍Anticipated customer needs and developed solutions for them while identifying opportunities for product improvements 📍Become a master of our rich datasets allowing visibility into our data both internally and externally 📍Have successfully balanced ad-hoc requests in addition to ongoing projects and can quantify the impact of your work 📍Built a strong relationship with our Product, Engineering, and Data teams to ensure our analytics align with the needs of our customers 📍Designed and launched new innovative solutions to ever expanding customer and company use cases

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