Senior Careers at Chainalysis

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Job Position Company Posted Location Salary Tags

Chainalysis

London, United Kingdom

$91k - $96k

Chainalysis

London, United Kingdom

$72k - $77k

Chainalysis

New York, NY, United States

$63k - $75k

Chainalysis

New York, NY, United States

$54k - $90k

Chainalysis

London, United Kingdom

$81k - $90k

Chainalysis

London, United Kingdom

$72k - $75k

Chainalysis

New York, NY, United States

$54k - $90k

Chainalysis

Singapore, Singapore

$61k - $61k

Chainalysis

New York, NY, United States

$54k - $87k

Chainalysis

New York, NY, United States

$32k - $65k

Chainalysis

New York, NY, United States

$54k - $81k

Chainalysis

New York, NY, United States

Chainalysis

New York, NY, United States

Chainalysis

Tel Aviv, Israel

Chainalysis

New York, NY, United States

$85k - $150k

Senior Data Scientist Investments

Chainalysis
$91k - $96k estimated

This job is closed

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes.

Data scientists are really good at turning raw data into actionable insights. As a Senior Data Scientist, Investments, you’ll be working closely with product managers, other data scientists and data engineers to provide meaningful and timely insights for our customers and their businesses. You will have the opportunity to lead the projects as senior engineer and help our customers to understand the market that they are in and help them to make better decisions for their business.

In one year you’ll know you were successful if…

  • Became a master of our rich datasets allowing visibility into our data.
  • Investigated and designed new innovative metrics.
  • Have successfully balanced ad-hoc requests in addition to ongoing projects and can quantify the impact of your work.
  • Identified opportunities for product improvements.

A background like this helps:

  • You are excited about Data!
  • Fluency in the data science tech stack, including Python (pandas, numpy, scipy, matplotlib, scikit-learn) and SQL
  • Experience/Exposure with/to data engineering concepts, ETL pipelines.
  • Ability to translate business problems into a data science roadmap and computational tasks.
  • Experience working with alternative data or hybrid datasets.
  • Capable of designing clear success/quality metrics and working towards accomplishing them.
  • Quality advocate.
  • Curious about cryptocurrencies/decentralized-finance or a desire to learn - we can help!
  • Experience working with Crypto data is a plus.

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