Data Scientist – San Francisco

Data Scientist | San Francisco, Fully Remote | $150,000 – $200,000 per year

*US citizen/H1B*

Are you a Data Scientist or ML engineer looking for your next career move? Are you interested in Crypto and Blockchain? Looking to be an essential part of building the next phase for a company? My client offers fraud prevention as a service for the digital world of Crypto and NeoBanking!

What’s in it for you?

My client is on the lookout for a Data Scientist within the FinTech sector to work on their fraud protection tool which integrates with their existing platforms. This is an exciting prospect to work in an upcoming start-up working to remove risks associated with high-speed money movement, from banks and cards, digital wallets and crypto. This will be a chance for you to determine what Data Science looks like within the organization!

What I’m looking for from you?

A passion for Data Science, of course! You enjoy developing statistical and Machine Learning models for tasks such as fraud prevention, and you are experienced using data models to support risk mitigation strategies. You’re data-driven and creative when it comes to solving complex obstacles, and you can determine causal impact of initiatives to evolve risk metrics.

Let’s get technical:

  • 5 years experience in data science/quantitative modelling
  • Degree in Mathematics, Statistics, Quantitative Finance, Economics, Sciences, Engineering, or Computer Science
  • SQL
  • Python or R
  • Machine Learning Models
  • (Golang preferable)


  • $150k-$200k
  • Equity included
  • Fully remote working
  • Unlimited paid time off
  • Healthcare included + 401K

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Connect with Annika on LinkedIn

We welcome applications from all suitably qualified people regardless of gender, race, disability, age or sexual orientation. All applications are assessed purely on merit, against the capabilities and competencies required to fulfil the position. If you require any reasonable adjustments throughout the recruitment process please do let us know. 


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